BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

2018/10/11 by Jacob Devlin, Devlin, Jacob, Ming-Wei Chang +5 · 7 voices · 3044 citations
#cs.CL

paper · pdf · doi:10.48550/arxiv.1810.04805

Abstract

We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models, BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of tasks, such as question answering and language inference, without substantial task-specific architecture modifications. BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks, including pushing the GLUE score to 80.5% (7.7% point absolute improvement), MultiNLI accuracy to 86.7% (4.6% absolute improvement), SQuAD v1.1 question answering Test F1 to 93.2 (1.5 point absolute improvement) and SQuAD v2.0 Test F1 to 83.1 (5.1 point absolute improvement).

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• The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge
• Event Extraction in Large Language Model
• Multi-Modal Soccer Scene Analysis with Masked Pre-Training
• R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression
• CienaLLM: Generative Climate-Impact Extraction from News Articles with Autoregressive LLMs
• MAGIC: Achieving Superior Model Merging via Magnitude Calibration
• HARMON-E: Hierarchical Agentic Reasoning for Multimodal Oncology Notes to Extract Structured Data
• Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
• How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts
• Overcoming Spectral Bias via Cross-Attention
• A Comparative Study of Light-weight Language Models for PII Masking and their Deployment for Real Conversational Texts
• The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation
• Revisiting the Learning Objectives of Vision-Language Reward Models
• Object-Centric Framework for Video Moment Retrieval
• InstructNet: A Novel Approach for Multi-Label Instruction Classification through Advanced Deep Learning
• Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
• Adversarial Robustness of Vision in Open Foundation Models
• Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
• Towards Deeper Emotional Reflection: Crafting Affective Image Filters with Generative Priors
• Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
• Toward Ethical AI Through Bayesian Uncertainty in Neural Question Answering
• Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models
• Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
• DNAMotifTokenizer: Towards Biologically Informed Tokenization of Genomic Sequences
• Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts
• Next-Embedding Prediction Makes Strong Vision Learners
• Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
• TOGGLE: Temporal Logic-Guided Large Language Model Compression for Edge
• LLMCache: Layer-Wise Caching Strategies for Accelerated Reuse in Transformer Inference
• What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels
• The Colombian legislative process, 2014-2025: networks, topics, and polarization
• GinSign: Grounding Natural Language Into System Signatures for Temporal Logic Translation
• Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
• From Essence to Defense: Adaptive Semantic-aware Watermarking for Embedding-as-a-Service Copyright Protection
• Hypernetworks That Evolve Themselves
• DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
• Decoding Fake Narratives in Spreading Hateful Stories: A Dual-Head RoBERTa Model with Multi-Task Learning
• ModelTables: A Corpus of Tables about Models
• Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
• See It Before You Grab It: Deep Learning-based Action Anticipation in Basketball
• From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection
• In-Context Semi-Supervised Learning
• In Pursuit of Pixel Supervision for Visual Pre-training
• ArcBERT: An LLM-based Search Engine for Exploring Integrated Multi-Omics Metadata
• The Deleuzian Representation Hypothesis
• Leveraging Foundational Models and Simple Fusion for Multi-modal Physiological Signal Analysis
• RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
• No More Hidden Pitfalls? Exposing Smart Contract Bad Practices with LLM-Powered Hybrid Analysis
• Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning
• Embedding Software Intent: Lightweight Java Module Recovery
• Beyond Fast and Slow: Cognitive-Inspired Elastic Reasoning for Large Language Models
• DASH: Dialogue-Aware Similarity and Handshake Recognition for Topic Segmentation in Public-Channel Conversations
• SeBERTis: A Framework for Producing Classifiers of Security-Related Issue Reports
• Spatia: Video Generation with Updatable Spatial Memory
• On the Use of Self-Supervised Representation Learning for Speaker Diarization and Separation
• Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
• Task Matrices: Linear Maps for Cross-Model Finetuning Transfer
• Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models
• TiME: Tiny Monolingual Encoders for Efficient NLP Pipelines
• ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning
• Towards Nepali-language LLMs: Efficient GPT training with a Nepali BPE tokenizer
• Agreement Between Large Language Models and Human Raters in Essay Scoring: A Research Synthesis
• Dual-objective Language Models: Training Efficiency Without Overfitting
• Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
• Optimizing the Adversarial Perturbation with a Momentum-based Adaptive Matrix
• On Improving Deep Active Learning with Formal Verification
• IntentMiner: Intent Inversion Attack via Tool Call Analysis in the Model Context Protocol
• Citation importance-aware document representation learning for large-scale science mapping
• Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
• Large-Language Memorization During the Classification of United States Supreme Court Cases
• Verifying Rumors via Stance-Aware Structural Modeling
• FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
• Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
• ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
• From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis
• Non-Resolution Reasoning (NRR): A Computational Framework for Contextual Identity and Ambiguity Preservation
• SocialNav-MoE: A Mixture-of-Experts Vision Language Model for Socially Compliant Navigation with Reinforcement Fine-Tuning
• Learning to Retrieve with Weakened Labels: Robust Training under Label Noise
• A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval
• Forging a Dynamic Memory: Retrieval-Guided Continual Learning for Generalist Medical Foundation Models
• Alada: Alternating Adaptation of Momentum Method for Memory-Efficient Matrix Optimization
• Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
• Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition
• Investigating Data Pruning for Pretraining Biological Foundation Models at Scale
• SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems
• PrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation
• GenieDrive: Towards Physics-Aware Driving World Model with 4D Occupancy Guided Video Generation
• Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches
• One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs
• StegaVAR: Privacy-Preserving Video Action Recognition via Steganographic Domain Analysis
• Detecting Prompt Injection Attacks Against Application Using Classifiers
• Supervised Contrastive Frame Aggregation for Video Representation Learning
• Effective Fine-Tuning with Eigenvector Centrality Based Pruning
• NagaNLP: Bootstrapping NLP for Low-Resource Nagamese Creole with Human-in-the-Loop Synthetic Data
• SafeGen: Embedding Ethical Safeguards in Text-to-Image Generation
• Taint-Based Code Slicing for LLMs-based Malicious NPM Package Detection
• Semantic Distance Measurement based on Multi-Kernel Gaussian Processes
• Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
• BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
• Citation-Grounded Code Comprehension: Preventing LLM Hallucination Through Hybrid Retrieval and Graph-Augmented Context
• SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
• Epistemoverse: Toward an AI-Driven Knowledge Metaverse for Intellectual Heritage Preservation
• EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing
• DREAM-B3P: Dual-Stream Transformer Network Enhanced by Feedback Diffusion Model for Blood-Brain Barrier Penetrating Peptide Prediction
• PhraseVAE and PhraseLDM: Latent Diffusion for Full-Song Multitrack Symbolic Music Generation
• A Scalable Multi-GPU Framework for Encrypted Large-Model Inference
• Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
• CADKnitter: Compositional CAD Generation from Text and Geometry Guidance
• SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing
• Cross-modal Context-aware Learning for Visual Prompt Guided Multimodal Image Understanding in Remote Sensing
• An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges
• Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modeling
• Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution
• TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
• E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
• Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats
• ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval
• Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
• Error-Propagation-Free Learned Video Compression With Dual-Domain Progressive Temporal Alignment
• Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature
• Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition
• SemanticBBV: A Semantic Signature for Cross-Program Knowledge Reuse in Microarchitecture Simulation
• Grounding Everything in Tokens for Multimodal Large Language Models
• Decoding Student Minds: Leveraging Conversational Agents for Psychological and Learning Analysis
• Token Sample Complexity of Attention
• SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
• SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
• Defining Cost Function of Steganography with Large Language Models
• Interpreto: An Explainability Library for Transformers
• Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
• CLARGA: Multimodal Graph Representation Learning over Arbitrary Sets of Modalities
• Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
• Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
• Representation Invariance and Allocation: When Subgroup Balance Matters
• Semantic Geometry for policy-constrained interpretation
• ODMA: On-Demand Memory Allocation Framework for LLM Serving on LPDDR-Class Accelerators
• Belief Is All You Need: Modeling Narrative Archetypes in Conspiratorial Discourse
• Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models
• HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model Compression
• Learning Unmasking Policies for Diffusion Language Models
• Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment
• Ask, Answer, and Detect: Role-Playing LLMs for Personality Detection with Question-Conditioned Mixture-of-Experts
• Quantum Decision Transformers (QDT): Synergistic Entanglement and Interference for Offline Reinforcement Learning
• Adaptive Regularized Newton Method with Inexact Hessian
• The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?
• Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
• Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4
• PointDico: Contrastive 3D Representation Learning Guided by Diffusion Models
• Hybrid Attribution Priors for Explainable and Robust Model Training
• Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradox
• Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes
• VisKnow: Constructing Visual Knowledge Base for Object Understanding
• A scalable and real-time neural decoder for topological quantum codes
• No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
• Luxical: High-Speed Lexical-Dense Text Embeddings
• Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing
• CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification
• Bridging Code Graphs and Large Language Models for Better Code Understanding
• HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
• An Empirical Framework for Evaluating Semantic Preservation Using Hugging Face
• In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models
• MoCoRP: Modeling Consistent Relations between Persona and Response for Persona-based Dialogue
• MIDG: Mixture of Invariant Experts with knowledge injection for Domain Generalization in Multimodal Sentiment Analysis
• Amulet: Fast TEE-Shielded Inference for On-Device Model Protection
• Persian-Phi: Efficient Cross-Lingual Adaptation of Compact LLMs via Curriculum Learning
• How Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline
• PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning
• Generalized Referring Expression Segmentation on Aerial Photos
• Generating Storytelling Images with Rich Chains-of-Reasoning
• Attention as Binding: A Vector-Symbolic Perspective on Transformer Reasoning
• Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design
• Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA model
• Pay Less Attention to Function Words for Free Robustness of Vision-Language Models
• Progress Ratio Embeddings: An Impatience Signal for Robust Length Control in Neural Text Generation
• A Patient-Doctor-NLP-System to contest inequality for less privileged
• ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems
• Distribution-Aware Exploration for Adaptive HNSW Search
• Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
• Patronus: Identifying and Mitigating Transferable Backdoors in Pre-trained Language Models
• Always Keep Your Promises: A Model-Agnostic Attribution Algorithm for Neural Networks
• Transferring Clinical Knowledge into ECGs Representation
• CMV-Fuse: Cross Modal-View Fusion of AMR, Syntax, and Knowledge Representations for Aspect Based Sentiment Analysis
• TopiCLEAR: Topic extraction by CLustering Embeddings with Adaptive dimensional Reduction
• Hybrid Quantum-Classical Ensemble Learning for S&amp;P 500 Directional Prediction
• Classifying German Language Proficiency Levels Using Large Language Models
• BERTO: an Adaptive BERT-based Network Time Series Predictor with Operator Preferences in Natural Language
• AgenticCyber: A GenAI-Powered Multi-Agent System for Multimodal Threat Detection and Adaptive Response in Cybersecurity
• Heard or Halted? Gender, Interruptions, and Emotional Tone in U.S. Supreme Court Oral Arguments
• EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing
• From Text to Returns: Using Large Language Models for Mutual Fund Portfolio Optimization and Risk-Adjusted Allocation
• Retrieving Semantically Similar Decisions under Noisy Institutional Labels: Robust Comparison of Embedding Methods
• Ontology Learning with LLMs: A Benchmark Study on Axiom Identification
• The Road of Adaptive AI for Precision in Cybersecurity
• Lyrics Matter: Exploiting the Power of Learnt Representations for Music Popularity Prediction
• Text Rationalization for Robust Causal Effect Estimation
• Transformer-Enabled Diachronic Analysis of Vedic Sanskrit: Neural Methods for Quantifying Types of Language Change
• AI &amp; Human Co-Improvement for Safer Co-Superintelligence
• Gradient Descent with Provably Tuned Learning-rate Schedules
• Fine-Tuning BERT for Domain-Specific Question Answering: Toward Educational NLP Resources at University Scale
• GeoPE:A Unified Geometric Positional Embedding for Structured Tensors
• LLMs Know More Than Words: A Genre Study with Syntax, Metaphor &amp; Phonetics
• Are LLMs Truly Multilingual? Exploring Zero-Shot Multilingual Capability of LLMs for Information Retrieval: An Italian Healthcare Use Case
• Order Matters: 3D Shape Generation from Sequential VR Sketches
• OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
• E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
• Efficient Safety Verification of Autonomous Vehicles with Neural Network Operator
• LLM-SrcLog: Towards Proactive and Unified Log Template Extraction via Large Language Models
• Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration
• Self-Paced and Self-Corrective Masked Prediction for Movie Trailer Generation
• Solving LLM Repetition Problem in Production: A Comprehensive Study of Multiple Solutions
• MASE: Interpretable NLP Models via Model-Agnostic Saliency Estimation
• RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
• On the Temporality for Sketch Representation Learning
• State Space Models for Bioacoustics: A comparative Evaluation with Transformers
• Diminishing Returns in Self-Supervised Learning
• Empirical Prompt Engineering for Construct Identification with Large Language Models
• The enshittification of online search? Privacy and quality of Google, Bing and Apple in coding advice
• In-Context Representation Hijacking
• MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
• Tutorial on Large Language Model-Enhanced Reinforcement Learning for Wireless Networks
• Investigating the originality of scientific papers across time and domain: A quantitative analysis
• FFTrainer: Fast Failover in Large-Language Model Training with Almost-Free State Management
• AaPE: Aliasing-aware Patch Embedding for Self-Supervised Audio Representation Learning
• Fine-grained Narrative Classification in Biased News Articles
• Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
• PretrainZero: Reinforcement Active Pretraining
• SHRP: Specialized Head Routing and Pruning for Efficient Encoder Compression
• Learning to Comparison-Shop
• Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
• Bangla Hate Speech Classification with Fine-tuned Transformer Models
• Adapting Large Language Models to Low-Resource Tibetan: A Two-Stage Continual and Supervised Fine-Tuning Study
• Enhancing Job Matching: Occupation, Skill and Qualification Linking with the ESCO and EQF taxonomies
• TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
• Flexible Gravitational-Wave Parameter Estimation with Transformers
• Reasoning-Aware Multimodal Fusion for Hateful Video Detection
• CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
• CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
• Learning What to Attend First: Modality-Importance-Guided Reasoning for Reliable Multimodal Emotion Understanding
• ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
• ESACT: An End-to-End Sparse Accelerator for Compute-Intensive Transformers via Local Similarity
• Q-BERT4Rec: Quantized Semantic-ID Representation Learning for Multimodal Recommendation
• Contrastive Deep Learning for Variant Detection in Wastewater Genomic Sequencing
• Identifying attributions of causality in political text
• Efficiency and Effectiveness of SPLADE Models on Billion-Scale Web Document Title
• Empathy Level Prediction in Multi-Modal Scenario with Supervisory Documentation Assistance
• PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
• WhAM: Towards A Translative Model of Sperm Whale Vocalization
• Feature Selection Empowered BERT for Detection of Hate Speech with Vocabulary Augmentation
• Low-Rank Prehab: Preparing Neural Networks for SVD Compression
• Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
• Learned-Rule-Augmented Large Language Model Evaluators
• Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees
• Evaluating SAM2 for Video Semantic Segmentation
• On the Unreasonable Effectiveness of Last-layer Retraining
• Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference
• Scaling and context steer LLMs along the same computational path as the human brain
• Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
• Label Forensics: Interpreting Hard Labels in Black-Box Text Classifier
• Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
• DyFuLM: An Advanced Multimodal Framework for Sentiment Analysis
• MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
• Handwritten Text Recognition for Low Resource Languages
• Data-Driven Learnability Transition of Measurement-Induced Entanglement
• AI-Enabled grading with near-domain data for scaling feedback with human-level accuracy
• MDiff4STR: Mask Diffusion Model for Scene Text Recognition
• Masked Symbol Modeling for Demodulation of Oversampled Baseband Communication Signals in Impulsive Noise-Dominated Channels
• M4-BLIP: Advancing Multi-Modal Media Manipulation Detection through Face-Enhanced Local Analysis
• Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
• A Knowledge-Based Language Model: Deducing Grammatical Knowledge in a Multi-Agent Language Acquisition Simulation
• Advancing Academic Chatbots: Evaluation of Non Traditional Outputs
• AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent
• Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learning
• Large Language Model based Smart Contract Auditing with LLMBugScanner
• Accelerating Bangla NLP Tasks with Automatic Mixed Precision: Resource-Efficient Training Preserving Model Efficacy
• FastPOS: Language-Agnostic Scalable POS Tagging Framework Low-Resource Use Case
• LAP: Fast LAtent Diffusion Planner for Autonomous Driving
• Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model
• Simplex-Optimized Hybrid Ensemble for Large Language Model Text Detection Under Generative Distribution Drif
• Exploring Health Misinformation Detection with Multi-Agent Debate
• Vision Transformer for Classification of UAV and Helicopters Using Micro-Doppler Spectrograms in Surveillance Radar
• FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
• BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
• DialBench: Towards Accurate Reading Recognition of Pointer Meter using Large Foundation Models
• CodeFlowLM: Incremental Just-In-Time Defect Prediction with Pretrained Language Models and Exploratory Insights into Defect Localization
• Tree Matching Networks for Natural Language Inference: Parameter-Efficient Semantic Understanding via Dependency Parse Trees
• Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models
• Predicting Startup-VC Fund Matches with Structural Embeddings and Temporal Investment Data
• Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces
• Tourism Question Answer System in Indian Language using Domain-Adapted Foundation Models
• Transformer-Driven Triple Fusion Framework for Enhanced Multimodal Author Intent Classification in Low-Resource Bangla
• Data-Efficient Motor Condition Monitoring with Time Series Foundation Models
• Machine learning for violence prediction: a systematic review and critical appraisal
• LUMOS: Large User MOdels for User Behavior Prediction
• Standard Occupation Classifier -- A Natural Language Processing Approach
• Decoding the Past: Explainable Machine Learning Models for Dating Historical Texts
• A transfer learning approach for automatic conflicts detection in software requirement sentence pairs based on dual encoders
• Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things
• Pooling Attention: Evaluating Pretrained Transformer Embeddings for Deception Classification
• RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
• Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
• BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning
• A Trainable Centrality Framework for Modern Data
• Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach
• Leveraging Textual Compositional Reasoning for Robust Change Captioning
• Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
• Beyond Real versus Fake Towards Intent-Aware Video Analysis
• PISA: Prioritized Invariant Subgraph Aggregation
• Semantic-Aware Caching for Efficient Image Generation in Edge Computing
• Economies of Open Intelligence: Tracing Power &amp; Participation in the Model Ecosystem
• HandyLabel: Towards Post-Processing to Real-Time Annotation Using Skeleton Based Hand Gesture Recognition
• Structure is Supervision: Multiview Masked Autoencoders for Radiology
• The Collapse of Patches
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• Harmonic-Percussive Disentangled Neural Audio Codec for Bandwidth Extension
• Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
• CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge Distillation
• Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
• Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
• A Systematic Study of In-the-Wild Model Merging for Large Language Models
• FITRep: Attention-Guided Item Representation via MLLMs
• BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla
• Infinite-Story: A Training-Free Consistent Text-to-Image Generation
• HTTM: Head-wise Temporal Token Merging for Faster VGGT
• Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data
• PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
• Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
• Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
• A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
• Towards Audio Token Compression in Large Audio Language Models
• Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge Graphs
• On the Origin of Algorithmic Progress in AI
• LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
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• MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction
• Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
• Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation Model
• Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
• Revisiting KRISP: A Lightweight Reproduction and Analysis of Knowledge-Enhanced Vision-Language Models
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• From Words to Wisdom: Discourse Annotation and Baseline Models for Student Dialogue Understanding
• CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation
• LLM-Driven Transient Stability Assessment: From Automated Simulation to Neural Architecture Design
• ScenarioCLIP: Pretrained Transferable Visual Language Models and Action-Genome Dataset for Natural Scene Analysis
• DUO-TOK: Dual-Track Semantic Music Tokenizer for Vocal-Accompaniment Generation
• GHR-VQA: Graph-guided Hierarchical Relational Reasoning for Video Question Answering
• KyrgyzBERT: A Compact, Efficient Language Model for Kyrgyz NLP
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• DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization
• Foundry: Distilling 3D Foundation Models for the Edge
• A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
• Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
• Distilling Cross-Modal Knowledge via Feature Disentanglement
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• Learning to Clean: Reinforcement Learning for Noisy Label Correction
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• Unboxing the Black Box: Mechanistic Interpretability for Algorithmic Understanding of Neural Networks
• Solar-GECO: Perovskite Solar Cell Property Prediction with Geometric-Aware Co-Attention
• ABM-LoRA: Activation Boundary Matching for Fast Convergence in Low-Rank Adaptation
• Emotion-Enhanced Multi-Task Learning with LLMs for Aspect Category Sentiment Analysis
• Extracting Robust Register Automata from Neural Networks over Data Sequences
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• On the Role of Hidden States of Modern Hopfield Network in Transformer
• FineXtrol: Controllable Motion Generation via Fine-Grained Text
• Large Language Models for the Summarization of Czech Documents: From History to the Present
• FVAR: Visual Autoregressive Modeling via Next Focus Prediction
• VideoPerceiver: Enhancing Fine-Grained Temporal Perception in Video Multimodal Large Language Models
• Scale What Counts, Mask What Matters: Evaluating Foundation Models for Zero-Shot Cross-Domain Wi-Fi Sensing
• Robust Multimodal Sentiment Analysis of Image-Text Pairs by Distribution-Based Feature Recovery and Fusion
• Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
• Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion
• Large-Scale In-Game Outcome Forecasting for Match, Team and Players in Football using an Axial Transformer Neural Network
• Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models
• OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph
• Leveraging Language Models for Interpretable Analysis of Narratives in a Large Corpus
• Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGI
• CrossJEPA: Cross-Modal Joint-Embedding Predictive Architecture for Efficient 3D Representation Learning from 2D Images
• Proactive Defense: Compound AI for Detecting Persuasion Attacks and Measuring Inoculation Effectiveness
• "AGI" team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa
• Efficient Covariance Estimation for Sparsified Functional Data
• Muskie: Multi-view Masked Image Modeling for 3D Vision Pre-training
• Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers
• Multi-speaker Attention Alignment for Multimodal Social Interaction
• MobileVLA-R1: Reinforcing Vision-Language-Action for Mobile Robots
• Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
• Narratives to Numbers: Large Language Models and Economic Policy Uncertainty
• Controllability Analysis of State Space-based Language Model
• Towards Efficient LLM-aware Heterogeneous Graph Learning
• A Lightweight Approach to Detection of AI-Generated Texts Using Stylometric Features
• Blu-WERP (Web Extraction and Refinement Pipeline): A Scalable Pipeline for Preprocessing Large Language Model Datasets
• MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms
• Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition
• Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
• SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
• DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture
• DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams
• Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages
• NX-CGRA: A Programmable Hardware Accelerator for Core Transformer Algorithms on Edge Devices
• A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
• AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
• Attention-Guided Feature Fusion (AGFF) Model for Integrating Statistical and Semantic Features in News Text Classification
• A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africa
• Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
• Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs
• Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
• CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report Retrieval
• Principled Design of Interpretable Automated Scoring for Large-Scale Educational Assessments
• Senti-iFusion: An Integrity-centered Hierarchical Fusion Framework for Multimodal Sentiment Analysis under Uncertain Modality Missingness
• CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
• Predicting Talent Breakout Rate using Twitter and TV data
• Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
• A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback
• Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM
• Innovation by Displacement
• Membership Inference Attacks Beyond Overfitting
• When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
• Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation
• Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
• SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction
• Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies
• Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
• Progressive Supernet Training for Efficient Visual Autoregressive Modeling
• Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
• Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
• Green Distributed AI Training: Orchestrating Compute Across Renewable-Powered Micro Datacenters
• Benchmarking Table Extraction from Heterogeneous Scientific Extraction Documents
• Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models
• ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
• LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous Driving
• Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation
• Boosting Medical Visual Understanding From Multi-Granular Language Learning
• Incorporating Token Importance in Multi-Vector Retrieval
• SpectralTrain: A Universal Framework for Hyperspectral Image Classification
• AssayMatch: Learning to Select Data for Molecular Activity Models
• Unsupervised Image Classification with Adaptive Nearest Neighbor Selection and Cluster Ensembles
• CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
• TB or Not TB: Coverage-Driven Direct Preference Optimization for Verilog Stimulus Generation
• Standardising the NLP Workflow: A Framework for Reproducible Linguistic Analysis
• A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
• Judicial Sentencing Prediction Based on Hybrid Models and Two-Stage Learning Algorithms
• C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models
• An Optimized Machine Learning Classifier for Detecting Fake Reviews Using Extracted Features
• Eq.Bot: Enhance Robotic Manipulation Learning via Group Equivariant Canonicalization
• OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
• Effective Code Membership Inference for Code Completion Models via Adversarial Prompts
• TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition
• HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
• ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling
• Opinion Dynamics Models for Sentiment Evolution in Weibo Blogs
• Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
• Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
• AutoTool: Efficient Tool Selection for Large Language Model Agents
• Gradient-descent methods for quantum detector tomography
• Steganographic Backdoor Attacks in NLP: Ultra-Low Poisoning and Defense Evasion
• LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
• Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
• 10Cache: Heterogeneous Resource-Aware Tensor Caching and Migration for LLM Training
• TTA: Transcribe, Translate and Alignment for Cross-lingual Speech Representation
• RAG-Driven Data Quality Governance for Enterprise ERP Systems
• Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts
• Learning Skill-Attributes for Transferable Assessment in Video
• ActVAR: Activating Mixtures of Weights and Tokens for Efficient Visual Autoregressive Generation
• TaoSearchEmb: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
• MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
• Hierarchical Retrieval with Out-Of-Vocabulary Queries: A Case Study on SNOMED CT
• Reconstruction-Driven Multimodal Representation Learning for Automated Media Understanding
• OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
• RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection
• Whistledown: Combining User-Level Privacy with Conversational Coherence in LLMs
• 3DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale
• Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
• Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
• Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification
• MedGEN-Bench: Contextually entangled benchmark for open-ended multimodal medical generation
• F.A.C.U.L.: Language-Based Interaction with AI Companions in Gaming
• BeDiscovER: The Benchmark of Discourse Understanding in the Era of Reasoning Language Models
• How Good is BLI as an Alignment Measure: A Study in Word Embedding Paradigm
• TacEleven: generative tactic discovery for football open play
• BIRD: Bronze Inscription Restoration and Dating
• ExplicitLM: Decoupling Knowledge from Parameters via Explicit Memory Banks
• Multimodal Large Language Models as Image Classifiers
• MolEdit: Knowledge Editing for Multimodal Molecule Language Models
• Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning
• HMVLM: Human Motion-Vision-Lanuage Model via MoE LoRA
• CAT-ID²: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
• Robust Multimodal Sentiment Analysis via Double Information Bottleneck
• UniSOT: A Unified Framework for Multi-Modality Single Object Tracking
• SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment
• Evaluating Embedding Generalization: How LLMs, LoRA, and SLERP Shape Representational Geometry
• HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
• How Language Directions Align with Token Geometry in Multilingual LLMs
• Medical Knowledge Intervention Prompt Tuning for Medical Image Classification
• Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
• A Content-Preserving Secure Linguistic Steganography
• MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning
• Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
• Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
• Concept-Based Interpretability for Toxicity Detection
• Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction
• Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic
• LOBERT: Generative AI Foundation Model for Limit Order Book Messages
• Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
• Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image
• ViConBERT: Context-Gloss Aligned Vietnamese Word Embedding for Polysemous and Sense-Aware Representations
• Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
• MixAR: Mixture Autoregressive Image Generation
• Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
• PRISM of Opinions: A Persona-Reasoned Multimodal Framework for User-centric Conversational Stance Detection
• Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
• A Robust and Explainable Transformer-Based Framework for Phishing Email Detection
• LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation
• MME-RAG: Multi-Manager-Expert Retrieval-Augmented Generation for Fine-Grained Entity Recognition in Task-Oriented Dialogues
• Augmenting The Weather: A Hybrid Counterfactual-SMOTE Algorithm for Improving Crop Growth Prediction When Climate Changes
• Constructing Political Coordinates: Aggregating Over the Opposition for Diverse News Recommendation
• Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches
• Scaling Open-Weight Large Language Models for Hydropower Regulatory Information Extraction: A Systematic Analysis
• CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction
• M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
• Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Model
• ChemFixer: Correcting Invalid Molecules to Unlock Previously Unseen Chemical Space
• LEMUR: Large scale End-to-end MUltimodal Recommendation
• Language-Guided Graph Representation Learning for Video Summarization
• Dynamic Temperature Scheduler for Knowledge Distillation
• Binary BPE: A Family of Cross-Platform Tokenizers for Binary Analysis
• From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis
• STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design
• Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction
• Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification
• RoboBenchMart: Benchmarking Robots in Retail Environment
• FineSkiing: A Fine-grained Benchmark for Skiing Action Quality Assessment
• Persona-Aware Alignment Framework for Personalized Dialogue Generation
• Ellipsoid-Based Decision Boundaries for Open Intent Classification
• VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction
• Text2SQL-Flow: A Robust SQL-Aware Data Augmentation Framework for Text-to-SQL
• Generalizing to Unseen Disaster Events: A Causal View
• Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces
• Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search
• TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain
• DELICATE: Diachronic Entity LInking using Classes And Temporal Evidence
• ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
• SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification
• MCAD: Multimodal Context-Aware Audio Description Generation For Soccer
• C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation
• End-to-end Contrastive Language-Speech Pretraining Model For Long-form Spoken Question Answering
• Generative AI as a Linguistic Equalizer in Global Science
• Blurred Encoding for Trajectory Representation Learning
• EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
• TransactionGPT
• Improve Contrastive Clustering Performance by Multiple Fusing-Augmenting ViT Blocks
• Hierarchical Memorization in Large Language Models: Evidence from Citation Generation
• A centroid based framework for text classification in itsm environments
• PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild
• Synergistic Feature Fusion for Latent Lyrical Classification: A Gated Deep Learning Architecture
• Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory
• CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
• Advancing Scientific Knowledge Retrieval and Reuse with a Novel Digital Library for Machine-Readable Knowledge
• Automated sign detection across the Electronic Babylonian Library: A large-scale dataset and end-to-end cuneiform OCR pipeline
• Leveraging unlabelled data for generalizable neural population decoding
• One Model for All: Universal Pre-training for EEG based Emotion Recognition across Heterogeneous Datasets and Paradigms
• EMAformer: Enhancing Transformer through Embedding Armor for Time Series Forecasting
• TurkEmbed: Turkish Embedding Model on NLI &amp; STS Tasks
• Why does weak-OOD help? A Further Step Towards Understanding Jailbreaking VLMs
• JobSphere: An AI-Powered Multilingual Career Copilot for Government Employment Platforms
• H-Model: Dynamic Neural Architectures for Adaptive Processing
• Concentration bounds on response-based vector embeddings of black-box generative models
• X-IONet: Cross-Platform Inertial Odometry Network with Dual-Stage Attention
• PE-TSFM: Self-Supervised Time-Series Learning for Generalizable Power Converter Health Monitoring under Unseen Conditions
• Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
• Encoder Fine-tuning with Stochastic Sampling Outperforms Open-weight GPT in Astronomy Knowledge Extraction
• Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
• Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
• DiffuGR: Generative Document Retrieval with Diffusion Language Models
• On the Interplay between Positional Encodings, Morphological Complexity, and Word Order Flexibility
• A Small Leak Sinks All: Exploring the Transferable Vulnerability of Source Code Models
• Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
• HipKittens: Fast and Furious AMD Kernels
• MSCR: Exploring the Vulnerability of LLMs' Mathematical Reasoning Abilities Using Multi-Source Candidate Replacement
• Generalizable Insights for Graph Transformers in Theory and Practice
• State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?
• Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker
• Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
• Parallel Sampling via Autospeculation
• VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing
• VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
• Cross Modal Fine-Grained Alignment via Granularity-Aware and Region-Uncertain Modeling
• LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models
• Harmonic Token Projection (HTP): A Vocabulary-Free, Training-Free, Deterministic, and Reversible Embedding Methodology
• TurkEmbed4Retrieval: Turkish Embedding Model for Retrieval Task
• Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
• Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation
• SPOT: An Annotated French Corpus and Benchmark for Detecting Critical Interventions in Online Conversations
• Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
• LeCoT: revisiting network architecture for two-view correspondence pruning
• EmoBang: Detecting Emotion From Bengali Texts
• Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
• Evaluating Large Language Models for Anxiety, Depression, and Stress Detection: Insights into Prompting Strategies and Synthetic Data
• GoCkpt: Gradient-Assisted Multi-Step overlapped Checkpointing for Efficient LLM Training
• Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning
• Sampling and Loss Weights in Multi-Domain Training
• QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
• Argus: Quality-Aware High-Throughput Text-to-Image Inference Serving System
• Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation
• Evaluating Language Model Applications for Identifying Solution-Related Content in Issue Report Discussions
• Rethinking what Matters: Effective and Robust Multilingual Realignment for Low-Resource Languages
• CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping
• S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning
• Rep2Text: Decoding Full Text from a Single LLM Token Representation
• SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention
• Comparing Reconstruction Attacks on Pretrained Versus Full Fine-tuned Large Language Model Embeddings on Homo Sapiens Splice Sites Genomic Data
• HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection
• Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
• Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
• EcoSpa: Efficient Transformer Training with Coupled Sparsity
• RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
• Interaction-Centric Knowledge Infusion and Transfer for Open-Vocabulary Scene Graph Generation
• Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
• FLEX: Continuous Agent Evolution via Forward Learning from Experience
• LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation
• ReMoD: Rethinking Modality Contribution in Multimodal Stance Detection via Dual Reasoning
• Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
• RF-Behavior: A Multimodal Radio-Frequency Dataset for Human Behavior and Emotion Analysis
• Kunlun Anomaly Troubleshooter: Enabling Kernel-Level Anomaly Detection and Causal Reasoning for Large Model Distributed Inference
• CoMA: Complementary Masking and Hierarchical Dynamic Multi-Window Self-Attention in a Unified Pre-training Framework
• L2T-Hyena: Enhancing State-Space Models with an Adaptive Learn-to-Teach Framework
• IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
• Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning
• DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
• Multi-Scale Feature Fusion and Graph Neural Network Integration for Text Classification with Large Language Models
• TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
• A Metamorphic Testing Perspective on Knowledge Distillation for Language Models of Code: Does the Student Deeply Mimic the Teacher?
• Semantic-Guided Natural Language and Visual Fusion for Cross-Modal Interaction Based on Tiny Object Detection
• How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
• Large Language Models for Explainable Threat Intelligence
• Evaluating Subword Tokenization Techniques for Bengali: A Benchmark Study with BengaliBPE
• Effectiveness of Chain-of-Thought in Distilling Reasoning Capability from Large Language Models
• ManufactuBERT: Efficient Continual Pretraining for Manufacturing
• Iterative Layer-wise Distillation for Efficient Compression of Large Language Models
• Deep Progressive Training: scaling up depth capacity of zero/one-layer models
• LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
• Listening Between the Lines: Decoding Podcast Narratives with Language Modeling
• Multimodal Diffusion Forcing for Forceful Manipulation
• Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
• On the Brittleness of CLIP Text Encoders
• The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms
• ScaleDL: Towards Scalable and Efficient Runtime Prediction for Distributed Deep Learning Workloads
• KGFR: A Foundation Retriever for Generalized Knowledge Graph Question Answering
• E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
• Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
• DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
• Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing
• MoSa: Motion Generation with Scalable Autoregressive Modeling
• Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
• Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption through Empirical and Theoretical Analysis
• Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens
• OMPILOT: Harnessing Transformer Models for Auto Parallelization to Shared Memory Computing Paradigms
• A Super-Learner with Large Language Models for Medical Emergency Advising
• Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
• A systematic review of relation extraction task since the emergence of Transformers
• Towards Scalable Web Accessibility Audit with MLLMs as Copilots
• Light over Heavy: Automated Performance Requirements Quantification with Linguistic Inducement
• Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
• Segmentation Beyond Defaults: Asymmetrical Byte Pair Encoding for Optimal Machine Translation Performance
• GEMMA-SQL: A Novel Text-to-SQL Model Based on Large Language Models
• Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels
• How to Evaluate Speech Translation with Source-Aware Neural MT Metrics
• Laugh, Relate, Engage: Stylized Comment Generation for Short Videos
• An Efficient Classification Model for Cyber Text
• A Computational Approach to Analyzing Disrupted Language in Schizophrenia: Integrating Surprisal and Coherence Measures
• An Interdisciplinary and Cross-Task Review on Missing Data Imputation
• Divide, Cache, Conquer: Dichotomic Prompting for Efficient Multi-Label LLM-Based Classification
• KnowThyself: An Agentic Assistant for LLM Interpretability
• How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis
• A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
• The Curved Spacetime of Transformer Architectures
• Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
• Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
• SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge Semantics
• Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model
• ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
• Cache Mechanism for Agent RAG Systems
• Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denoising Diffusion Process
• From emotional data to decisions: A systematic review on how airlines use sentiments and emotions to stay ahead
• Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision Classification
• Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour
• Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
• From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics
• Chronic Kidney Disease Prognosis Prediction Using Transformer
• Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
• Metamorphic Testing of Large Language Models for Natural Language Processing
• Vibe Learning: Education in the age of AI
• DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
• Detecting Vulnerabilities from Issue Reports for Internet-of-Things
• Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems
• Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering
• HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models
• Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms
• OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights
• VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel
• The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
• G2rammar: Bilingual Grammar Modeling for Enhanced Text-attributed Graph Learning
• Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle
• ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval
• Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
• All-in-one Graph-based Indexing for Hybrid Search on GPUs
• TriCon-Fair: Triplet Contrastive Learning for Mitigating Social Bias in Pre-trained Language Models
• Parameter Interpolation Adversarial Training for Robust Image Classification
• Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
• Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities
• Automated Invoice Data Extraction: Using LLM and OCR
• Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge
• CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
• EPARA: Parallelizing Categorized AI Inference in Edge Clouds
• Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
• Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
• ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
• Penetrating the Hostile: Detecting DeFi Protocol Exploits through Cross-Contract Analysis
• Reversal Invariance in Autoregressive Language Models
• A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method
• Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
• Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation
• Multilingual BERT language model for medical tasks: Evaluation on domain-specific adaptation and cross-linguality
• BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization
• From the Rock Floor to the Cloud: A Systematic Survey of State-of-the-Art NLP in Battery Life Cycle
• FPS: Feedforward-based Parameter Selection For Efficient Fine-Tuning
• A Survey on Deep Text Hashing: Efficient Semantic Text Retrieval with Binary Representation
• Exploring Landscapes for Better Minima along Valleys
• Probability Distributions Computed by Hard-Attention Transformers
• QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
• A Retrospect to Multi-prompt Learning across Vision and Language
• Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference
• Addressing Longstanding Challenges in Cognitive Science with Language Models
• Exploring the Utilities of the Rationales from Large Language Models to Enhance Automated Essay Scoring
• Spatial-SSRL: Enhancing Spatial Understanding via Self-Supervised Reinforcement Learning
• POSESTITCH-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation
• Calibration Across Layers: Understanding Calibration Evolution in LLMs
• NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
• The aftermath of compounds: Investigating Compounds and their Semantic Representations
• Dataset Creation and Baseline Models for Sexism Detection in Hausa
• Elastic Architecture Search for Efficient Language Models
• Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion
• Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification Problems
• Semantic Frame Aggregation-based Transformer for Live Video Comment Generation
• Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations
• Masked Diffusion Captioning for Visual Feature Learning
• Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model
• The Structure of Relation Decoding Linear Operators in Large Language Models
• Hebrew Diacritics Restoration using Visual Representation
• CyberNER: A Harmonized STIX Corpus for Cybersecurity Named Entity Recognition
• SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
• Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
• ReaKase-8B: Legal Case Retrieval via Knowledge and Reasoning Representations with LLMs
• Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
• Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment
• StructLayoutFormer:Conditional Structured Layout Generation via Structure Serialization and Disentanglement
• Do Students Debias Like Teachers? On the Distillability of Bias Mitigation Methods
• Detecting Anomalies in Machine Learning Infrastructure via Hardware Telemetry
• SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
• Revisiting Multilingual Data Mixtures in Language Model Pretraining
• Beyond Long Context: When Semantics Matter More than Tokens
• Generalized Pseudo-Relevance Feedback
• Beyond Data Scarcity Optimizing R3GAN for Medical Image Generation from Small Datasets
• Semantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking
• From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models
• ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling
• Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
• ASARL: Autonomous Social-Aware Relevance Learning for QQ Search
• Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer Substitution
• Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation
• Speech2Grasp: Data-Efficient Transfer of Text-Conditioned Grasp Detection to Speech in Humanoid Robots
• RAGuard: A Layered Defense Framework for Retrieval-Augmented Generation Systems Against Data Poisoning
• Shape-Based Inductive Bias for Glioma Grading from Tumor Contours
• Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap
• How to make the most of your masked language model for protein engineering
• Semantic Similarity in Radiology Reports via LLMs and NER
• ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
• Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case
• When Knowledge Changes: Metamorphic Testing of RAG Systems with Mutations
• Truth-Aware Decoding: A Program-Logic Approach to Factual Language Generation
• SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Representation
• Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
• Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification
• TweetyBERT: Automated parsing of birdsong through self-supervised machine learning
• <i>Making a Name for Myself</i> : On Academic Naming Policies and their Impact
• MedFusionT5: Cross-Modal Attention Boosts Semantic Quality and Reduces Hallucinations in Dental AI
• The Scaling Properties of Implicit Deductive Reasoning in Transformers
• Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
• Understanding Wacky Weights: A Dissection of SPLADE's Learned Term Importance
• Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
• Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
• Lattice Deduction Transformers
• Exploring the Intersection of AI, Language, and Law: A Bibliometric Analysis
• Hallucination Benchmark for Speech Foundation Models
• NeurIPT: Foundation Model for Neural Interfaces
• MIN-Merging: Merge the Important Neurons for Model Merging
• On the Use of Large Language Models for Qualitative Synthesis
• Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study
• TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model
• Bots into the Fediverse
• Digitising Death: Benchmarking Genealogical Data and Recovering Women’s Histories in Early Modern Ireland
• DeepTaxa: a hybrid CNN-BERT framework for 16S rRNA taxonomic classification
• FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
• Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks
• RL makes MLLMs see better than SFT
• Stay Tuned: Improving Sentiment Analysis and Stance Detection Using Large Language Models
• Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
• Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)
• Artificial intelligence in bioinformatics: a survey
• End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
• BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training
• Beyond One-Size-Fits-All: Personalized Harmful Content Detection with In-Context Learning
• SynHLMA:Synthesizing Hand Language Manipulation for Articulated Object with Discrete Human Object Interaction Representation
• IBNorm: Information-Bottleneck Inspired Normalization for Representation Learning
• Testing Cross-Lingual Text Comprehension In LLMs Using Next Sentence Prediction
• MemEIC: A Step Toward Continual and Compositional Knowledge Editing
• Bridging the Divide: End-to-End Sequence-Graph Learning
• NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies
• A Survey on Unlearning in Large Language Models
• Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?
• Retrieval-Augmented Multimodal Depression Detection
• Exponential Dynamic Energy Network for High Capacity Sequence Memory
• RiddleBench: A New Generative Reasoning Benchmark for LLMs
• Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
• SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection
• Eigenfunction Extraction for Ordered Representation Learning
• Optimizing Retrieval for RAG via Reinforced Contrastive Learning
• MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding
• "Mm, Wat?" Detecting Other-initiated Repair Requests in Dialogue
• BEST-RQ-Based Self-Supervised Learning for Whisper Domain Adaptation
• Generative AI for Healthcare: Fundamentals, Challenges, and Perspectives
• Talk2Ref: A Dataset for Reference Prediction from Scientific Talks
• Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
• DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt Evolution
• HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
• Human-Level Reasoning: A Comparative Study of Large Language Models on Logical and Abstract Reasoning
• Uncovering Gaps Between RFC Updates and TCP/IP Implementations: LLM-Facilitated Differential Checks on Intermediate Representations
• Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
• A Unified Geometric Space Bridging AI Models and the Human Brain
• LASTIST: LArge-Scale Target-Independent STance dataset
• MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
• Abjad AI at NADI 2025: CATT-Whisper: Multimodal Diacritic Restoration Using Text and Speech Representations
• SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
• BMGQ: A Bottom-up Method for Generating Complex Multi-hop Reasoning Questions from Semi-structured Data
• Leveraging LLMs for Early Alzheimer's Prediction
• Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
• COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
• Mitigating Negative Transfer via Reducing Environmental Disagreement
• Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
• DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
• Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World
• Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis using Graph Transformer Neural Network
• Language Models for Longitudinal Clinical Prediction
• ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation
• SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
• RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory Mamba
• Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
• How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse
• VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
• Debiasing Reward Models by Representation Learning with Guarantees
• Sentiment and Volatility in Financial Markets: A Review of BERT and GARCH Applications during Geopolitical Crises
• Variational Masked Diffusion Models
• Minimizing Human Intervention in Online Classification
• FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
• COOPERA: Continual Open-Ended Human-Robot Assistance
• Education Paradigm Shift To Maintain Human Competitive Advantage Over AI
• Code Contribution and Credit in Science
• Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
• Large language model-based task planning for service robots: A review
• SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
• Network Intrusion Detection: Evolution from Conventional Approaches to LLM Collaboration and Emerging Risks
• Provable test-time adaptivity and distributional robustness of in-context learning
• A high-capacity linguistic steganography based on entropy-driven rank-token mapping
• Capsule Network-Based Multimodal Fusion for Mortgage Risk Assessment from Unstructured Data Sources
• How Muon's Spectral Design Benefits Generalization: A Study on Imbalanced Data
• Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
• Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
• Exploration of Summarization by Generative Language Models for Automated Scoring of Long Essays
• In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions
• Agentic Meta-Orchestrator for Multi-task Copilots
• Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
• REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
• Cross-view Localization and Synthesis -- Datasets, Challenges and Opportunities
• SALSA: Single-pass Autoregressive LLM Structured Classification
• Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration
• FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference
• JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
• A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning
• Text to Trust: Evaluating Fine-Tuning and LoRA Trade-offs in Language Models for Unfair Terms of Service Detection
• Frustratingly Easy Task-aware Pruning for Large Language Models
• Contextual Tokenization for Graph Inverted Indices
• E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
• Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
• Expert Merging in Sparse Mixture of Experts with Nash Bargaining
• PromptReverb: Multimodal Room Impulse Response Generation Through Latent Rectified Flow Matching
• GigaEmbeddings: Efficient Russian Language Embedding Model
• Multilingual Target-Stance Extraction
• PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
• Understanding Self-Admitted Technical Debt in Test Code: An Empirical Study
• RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection
• SentiMaithili: A Benchmark Dataset for Sentiment and Reason Generation for the Low-Resource Maithili Language
• Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
• Gradual Forgetting: Logarithmic Compression for Extending Transformer Context Windows
• Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms
• Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective
• From Black-box to Causal-box: Towards Building More Interpretable Models
• ArchISMiner: A Framework for Automatic Mining of Architectural Issue-Solution Pairs from Online Developer Communities
• Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging
• Efficient semantic uncertainty quantification in language models via diversity-steered sampling
• PARL: Prompt-based Agents for Reinforcement Learning
• Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
• HalleluBERT: Let every token that has meaning bear its weight
• SindBERT, the Sailor: Charting the Seas of Turkish NLP
• Typoglycemia under the Hood: Investigating Language Models' Understanding of Scrambled Words
• Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification
• Understanding AI Trustworthiness: A Scoping Review of AIES &amp; FAccT Articles
• LLMComp: A Language Modeling Paradigm for Error-Bounded Scientific Data Compression (Technical Report)
• Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
• R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking
• DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
• Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
• The Universal Landscape of Human Reasoning
• FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
• Multimodal Detection of Fake Reviews using BERT and ResNet-50
• Leverage Unlearning to Sanitize LLMs
• Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
• Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
• Memory Constrained Dynamic Subnetwork Update for Transfer Learning
• CantoNLU: A benchmark for Cantonese natural language understanding
• TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
• BUSTED at AraGenEval Shared Task: A Comparative Study of Transformer-Based Models for Arabic AI-Generated Text Detection
• Automated Extraction of Fluoropyrimidine Treatment and Treatment-Related Toxicities from Clinical Notes Using Natural Language Processing
• Multimodal Negative Learning
• IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation
• GRATING: Low-Latency and Memory-Efficient Semantic Selection on Device
• ComProScanner: A multi-agent based framework for composition-property structured data extraction from scientific literature
• Calibrating Multimodal Consensus for Emotion Recognition
• Context-level Language Modeling by Learning Predictive Context Embeddings
• KCM: KAN-Based Collaboration Models Enhance Pretrained Large Models
• DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing
• Hierarchical Dual-Head Model for Suicide Risk Assessment via MentalRoBERTa
• DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
• MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation
• RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
• Classical Feature Embeddings Help in BERT-Based Human Mobility Prediction
• From Masks to Worlds: A Hitchhiker's Guide to World Models
• Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction
• On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?
• Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs
• Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
• Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
• Top-P Masking for Cross Language Information Retrieval
• KARIPAP: Quantum-Inspired Tensor Network Compression of Large Language Models Using Infinite Projected Entangled Pair States and Tensor Renormalization Group
• Study of Training Dynamics for Memory-Constrained Fine-Tuning
• Automated HIV Screening on Dutch Electronic Health Records with Large Language Models
• What is the Best Sequence Length for BABYLM?
• Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
• AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch
• Algorithmic Fairness in NLP: Persona-Infused LLMs for Human-Centric Hate Speech Detection
• Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
• Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges
• Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization
• Selecting and Combining Large Language Models for Scalable Code Clone Detection
• No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence
• Aligning Multilingual News for Stock Return Prediction
• Transfer Learning Beyond the Standard Model
• CrossNews-UA: A Cross-lingual News Semantic Similarity Benchmark for Ukrainian, Polish, Russian, and English
• Automated Concern Extraction from Textual Requirements of Cyber-Physical Systems: A Multi-solution Study
• No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models
• A Derandomization Framework for Structure Discovery: Applications in Neural Networks and Beyond
• LAPRAD: LLM-Assisted PRotocol Attack Discovery
• RailS: Load Balancing for All-to-All Communication in Distributed Mixture-of-Experts Training
• Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+
• Training-Free Spectral Fingerprints of Voice Processing in Transformers
• That's Deprecated! Understanding, Detecting, and Steering Knowledge Conflicts in Language Models for Code Generation
• See the Text: From Tokenization to Visual Reading
• When LRP Diverges from Leave-One-Out in Transformers
• Decoding Funded Research: Comparative Analysis of Topic Models and Uncovering the Effect of Gender and Geographic Location
• FeClustRE: Hierarchical Clustering and Semantic Tagging of App Features from User Reviews
• Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting
• SITS-DECO: A Generative Decoder Is All You Need For Multitask Satellite Image Time Series Modelling
• Reasoning Language Model Inference Serving Unveiled: An Empirical Study
• CLASP: Cost-Optimized LLM-based Agentic System for Phishing Detection
• CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder
• Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
• Large language models for folktale type automation based on motifs: Cinderella case study
• Extracting alignment data in open models
• SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
• LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
• CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning
• Embodied Navigation with Auxiliary Task of Action Description Prediction
• Benchmarking On-Device Machine Learning on Apple Silicon with MLX
• Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
• GPTFace: Generative Pre-training of Facial-Linguistic Transformer by Span Masking and Weakly Correlated Text-image Data
• Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction
• From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
• BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
• OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion
• DiffGRM: Diffusion-based Generative Recommendation Model
• DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code
• Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
• Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
• ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters
• Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Models
• AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI
• Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
• Exemplar-Guided Planing: Enhanced LLM Agent for KGQA
• DynaQuery: A Self-Adapting Framework for Querying Structured and Multimodal Data
• Unbiased Gradient Low-Rank Projection
• AcademicEval: Live Long-Context LLM Benchmark
• PANER: A Paraphrase-Augmented Framework for Low-Resource Named Entity Recognition
• An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis
• Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning
• DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
• Disparities in Multilingual LLM-Based Healthcare Q&amp;A
• Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings
• AFRICAPTION: Establishing a New Paradigm for Image Captioning in African Languages
• MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning
• Exploration via Feature Perturbation in Contextual Bandits
• Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
• RubiSCoT: A Framework for AI-Supported Academic Assessment
• Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
• Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
• SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference
• ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
• DVAGen: Dynamic Vocabulary Augmented Generation
• HGAdapter: Hypergraph-based Adapters in Language Models for Code Summarization and Clone Detection
• Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling
• MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
• Conveying Meaning through Gestures: An Investigation into Semantic Co-Speech Gesture Generation
• Reasoning Distillation and Structural Alignment for Improved Code Generation
• OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration
• Extended LSTM: Adaptive Feature Gating for Toxic Comment Classification
• An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision
• Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
• Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
• Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
• Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator
• ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
• Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
• Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation
• Closing the Curvature Gap: Full Transformer Hessians and Their Implications for Scaling Laws
• All You Need is One: Capsule Prompt Tuning with a Single Vector
• MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
• Mixed-Precision Quantization for Language Models: Techniques and Prospects
• Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review
• TACL: Threshold-Adaptive Curriculum Learning Strategy for Enhancing Medical Text Understanding
• Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
• Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
• The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
• Extending Audio Context for Long-Form Understanding in Large Audio-Language Models
• Mixture of Experts Approaches in Dense Retrieval Tasks
• Leveraging LLMs for Context-Aware Implicit Textual and Multimodal Hate Speech Detection
• Policy Transfer for Continuous-Time Reinforcement Learning: A (Rough) Differential Equation Approach
• Hyperparameter Optimization and Reproducibility in Deep Learning Model Training
• FarsiMCQGen: a Persian Multiple-choice Question Generation Framework
• Measuring the Effect of Disfluency in Multilingual Knowledge Probing Benchmarks
• DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
• MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
• TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
• LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models
• ChangingGrounding: 3D Visual Grounding in Changing Scenes
• TRI-DEP: A Trimodal Comparative Study for Depression Detection Using Speech, Text, and EEG
• A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
• Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
• Fantastic (small) Retrievers and How to Train Them: mxbai-edge-colbert-v0 Tech Report
• TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions
• Multi-modal video data-pipelines for machine learning with minimal human supervision
• Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
• ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
• Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging
• First Attentions Last: Better Exploiting First Attentions for Efficient Transformer Training
• Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video
• ToolTweak: An Attack on Tool Selection in LLM-based Agents
• Hierarchical Semantic Retrieval with Cobweb
• Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control
• Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
• Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters
• MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning
• Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals
• Large Scale Retrieval for the LinkedIn Feed using Causal Language Models
• Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition
• From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance
• Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks
• DROID: Dual Representation for Out-of-Scope Intent Detection
• Nondeterminism-Aware Optimistic Verification for Floating-Point Neural Networks
• FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients
• Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
• Signature in Code Backdoor Detection, how far are we?
• Scaling Vision Transformers for Functional MRI with Flat Maps
• Unlocking Public Catalogues: Instruction-Tuning LLMs for ICD Coding of German Tumor Diagnoses
• MemoTime: Memory-Augmented Temporal Knowledge Graph Enhanced Large Language Model Reasoning
• LLM one-shot style transfer for Authorship Attribution and Verification
• DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation
• A New Perspective on Transformers in Online Reinforcement Learning for Continuous Control
• Document Intelligence in the Era of Large Language Models: A Survey
• Generalist++: A Meta-learning Framework for Mitigating Trade-off in Adversarial Training
• Transformer-based Scalable Beamforming Optimization via Deep Residual Learning
• Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems
• Convergence, design and training of continuous-time dropout as a random batch method
• A Conformation-Centric Generative Foundation Model for Linear Polymer Modeling and Design
• Universal Image Restoration Pre-training via Masked Degradation Classification
• OS-HGAdapter: Open Semantic Hypergraph Adapter for Large Language Models Assisted Entropy-Enhanced Image-Text Alignment
• Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation
• Text Anomaly Detection with Simplified Isolation Kernel
• On the Reasoning Abilities of Masked Diffusion Language Models
• ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
• What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging
• Chinese ModernBERT with Whole-Word Masking
• BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
• Detect Anything via Next Point Prediction
• Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
• ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
• Learning to Recognize Correctly Completed Procedure Steps in Egocentric Assembly Videos through Spatio-Temporal Modeling
• Efficient Adaptive Transformer: An Empirical Study and Reproducible Framework
• IP-Augmented Multi-Modal Malicious URL Detection Via Token-Contrastive Representation Enhancement and Multi-Granularity Fusion
• A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning
• Pretraining in Actor-Critic Reinforcement Learning for Robot Locomotion
• Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models
• Simple Projection Variants Improve ColBERT Performance
• Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
• FedMMKT:Co-Enhancing a Server Text-to-Image Model and Client Task Models in Multi-Modal Federated Learning
• Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
• BIGFix: Bidirectional Image Generation with Token Fixing
• Structure-aware Propagation Generation with Large Language Models for Fake News Detection
• Chimera: State Space Models Beyond Sequences
• Order from Chaos: Comparative Study of Ten Leading LLMs on Unstructured Data Categorization
• SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model
• EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
• Ethic-BERT: An Enhanced Deep Learning Model for Ethical and Non-Ethical Content Classification
• SMEC: Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
• Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning
• Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
• Toward LLM-Supported Automated Assessment of Critical Thinking Subskills
• FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
• Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
• Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
• REGENT: Relevance-Guided Attention for Entity-Aware Multi-Vector Neural Re-Ranking
• QDER: Query-Specific Document and Entity Representations for Multi-Vector Document Re-Ranking
• FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
• Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
• MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
• An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
• Towards Real-Time Fake News Detection under Evidence Scarcity
• Exploring and Leveraging Class Vectors for Classifier Editing
• CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis
• A Theorem-Proving-Based Evaluation of Neural Semantic Parsing
• Fairness Metric Design Exploration in Multi-Domain Moral Sentiment Classification using Transformer-Based Models
• An Explorative Study on Distributed Computing Techniques in Training and Inference of Large Language Models
• Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
• Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
• Efficient In-Memory Acceleration of Sparse Block Diagonal LLMs
• Reliable Cross-modal Alignment via Prototype Iterative Construction
• CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
• DyKnow-RAG: Dynamic Knowledge Utilization Reinforcement Framework for Noisy Retrieval-Augmented Generation in E-commerce Search Relevance
• Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning
• Therapeutic AI and the Hidden Risks of Over-Disclosure: An Embedded AI-Literacy Framework for Mental Health Privacy
• Toward Human-Centered Readability Evaluation
• Rethinking deep learning: linear regression remains a key benchmark in predicting terrestrial water storage
• From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
• Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization
• RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
• End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
• GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition
• Comparative Explanations via Counterfactual Reasoning in Recommendations
• QLENS: Towards A Quantum Perspective of Language Transformers
• PAGE: Prompt Augmentation for text Generation Enhancement
• Visual Odometry with Transformers
• Early Detection and Reduction of Memorisation for Domain Adaptation and Instruction Tuning
• CLASP: Training-Free LLM-Assisted Source Code Watermarking via Semantic-Preserving Transformations
• BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics
• Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
• HiligayNER: A Baseline Named Entity Recognition Model for Hiligaynon
• Predict Training Data Quality via Its Geometry in Metric Space
• ADiP: Adaptive Precision Systolic Array for Matrix Multiplication Acceleration
• Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
• MCE: Towards a General Framework for Handling Missing Modalities under Imbalanced Missing Rates
• VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction
• Head-wise Adaptive Rotary Positional Encoding for Fine-Grained Image Generation
• SASER: Stego attacks on open-source LLMs
• Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
• NIM: Neuro-symbolic Ideographic Metalanguage for Inclusive Communication
• On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
• Knowing Unknowns in an Age of Information Overload
• FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
• LLM-Based Multi-Task Bangla Hate Speech Detection: Type, Severity, and Target
• MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation
• B2N3D: Progressive Learning from Binary to N-ary Relationships for 3D Object Grounding
• Meronymic Ontology Extraction via Large Language Models
• A Survey of Inductive Reasoning for Large Language Models
• LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models
• SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
• ReMix: Towards a Unified View of Consistent Character Generation and Editing
• Hybrid OCR-LLM Framework for Enterprise-Scale Document Information Extraction Under Copy-heavy Task
• CLMN: Concept based Language Models via Neural Symbolic Reasoning
• Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
• Collaborative Learning of Semantic-Aware Feature Learning and Label Recovery for Multi-Label Image Recognition with Incomplete Labels
• PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
• Improving Speech Emotion Recognition with Mutual Information Regularized Generative Model
• Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning
• Lightweight Baselines for Medical Abstract Classification: DistilBERT with Cross-Entropy as a Strong Default
• Unpacking Hateful Memes: Presupposed Context and False Claims
• ACT: Automatically Generating Compiler Backends from Tensor Accelerator ISA Descriptions
• Seeing Hate Differently: Hate Subspace Modeling for Culture-Aware Hate Speech Detection
• Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
• Serialized EHR make for good text representations
• Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems
• Exploring Large Language Models for Financial Applications: Techniques, Performance, and Challenges with FinMA
• Arab Spring’s impact on science through the lens of scholarly attention, funding, and migration
• Towards Speeding up Program Repair with Non-Autoregressive Model
• Sparse Query Attention (SQA): A Computationally Efficient Attention Mechanism with Query Heads Reduction
• Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
• Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
• OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models
• Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading
• Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
• Lost in the Middle: An Emergent Property from Information Retrieval Demands in LLMs
• HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
• Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling
• Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
• Steering Embedding Models with Geometric Rotation: Mapping Semantic Relationships Across Languages and Models
• PromptGuard at BLP-2025 Task 1: A Few-Shot Classification Framework Using Majority Voting and Keyword Similarity for Bengali Hate Speech Detection
• Patentformer: A demonstration of AI-assisted automated patent drafting
• Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
• Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors
• On the Representations of Entities in Auto-regressive Large Language Models
• Entropy Meets Importance: A Unified Head Importance-Entropy Score for Stable and Efficient Transformer Pruning
• CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts
• MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation
• Training Models to Detect Successive Robot Errors from Human Reactions
• Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language
• Web Crawler Restrictions, AI Training Datasets &amp; Political Biases
• Value-State Gated Attention for Mitigating Extreme-Token Phenomena in Transformers
• Promptimizer: User-Led Prompt Optimization for Personal Content Classification
• SQS: Bayesian DNN Compression through Sparse Quantized Sub-distributions
• The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
• Bridging the Semantic Gap: Contrastive Rewards for Multilingual Text-to-SQL with GRPO
• Neural Codecs as Biosignal Tokenizers
• Co-Authoring the Self: A Human-AI Interface for Interest Reflection in Recommenders
• Training Feature Attribution for Vision Models
• SEER: Sustainability Enhanced Engineering of Software Requirements
• Toward Autonomous Soft Robotic Endovascular Navigation via Imitation Learning
• One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
• Geodesic Calculus on Implicitly Defined Latent Manifolds
• SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
• PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
• Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs
• Edu-EmotionNet: Cross-Modality Attention Alignment with Temporal Feedback Loops
• Q-Router: Agentic Video Quality Assessment with Expert Model Routing and Artifact Localization
• From Noise to Signal to Selbstzweck: Reframing Human Label Variation in the Era of Post-training in NLP
• Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning
• Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
• Neuron-Level Analysis of Cultural Understanding in Large Language Models
• FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
• TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
• Past, Present, and Future of Bug Tracking in the Generative AI Era
• SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
• DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
• Towards Human-Like Grading: A Unified LLM-Enhanced Framework for Subjective Question Evaluation
• Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects
• Multilingual Generative Retrieval via Cross-lingual Semantic Compression
• Textual Entailment and Token Probability as Bias Evaluation Metrics
• Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
• Causality Guided Representation Learning for Cross-Style Hate Speech Detection
• Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
• AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment
• Vanishing Contributions: A Unified Framework for Smooth and Iterative Model Compression
• Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
• Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings
• Multi-modal Foundation Model for Cosmological Simulation Data
• Two-Stage Voting for Robust and Efficient Suicide Risk Detection on Social Media
• Learning What to Remember: Adaptive Probabilistic Memory Retention for Memory-Efficient Language Models
• FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
• ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
• DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
• CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization
• Counterfactually Fair Conformal Prediction
• CAT: Curvature-Adaptive Transformers for Geometry-Aware Learning
• Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
• Investigating Thematic Patterns and User Preferences in LLM Interactions using BERTopic
• Label Semantics for Robust Hyperspectral Image Classification
• Phase Diagram of Dropout for Two-Layer Neural Networks in the Mean-Field Regime
• Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data
• Learning to Decide with Just Enough: Information-Theoretic Context Summarization for CMDPs
• Artificial Hippocampus Networks for Efficient Long-Context Modeling
• Evolutionary Profiles for Protein Fitness Prediction
• Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models
• Sunflower: A New Approach To Expanding Coverage of African Languages in Large Language Models
• Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
• Reasoning for Hierarchical Text Classification: The Case of Patents
• Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages
• Search-R3: Unifying Reasoning and Embedding in Large Language Models
• Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
• SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
• End-to-End Test-Time Training for Long Context
• BOTANIC-0: a series of foundation models for plant genomic data
• Iterative design of a NAND hybrid riboswitch by deep batch Bayesian optimization
• Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
• Mid-Training of Large Language Models: A Survey
• Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
• Study on LLMs for Promptagator-Style Dense Retriever Training
• TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
• AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
• Heptapod: Language Modeling on Visual Signals
• The Effect of Attention Head Count on Transformer Approximation
• Modeling Sarcastic Speech: Semantic and Prosodic Cues in a Speech Synthesis Framework
• Learning to Route LLMs from Bandit Feedback: One Policy, Many Trade-offs
• TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
• A Framework for Measuring How News Topics Drive Stock Movement
• HEMERA: A Human-Explainable Transformer Model for Estimating Lung Cancer Risk using GWAS Data
• Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
• LLM Bias Detection and Mitigation through the Lens of Desired Distributions
• Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks
• Parallel Tokenizers: Rethinking Encoder Models' Vocabulary Design in Cross-Lingual Transfer of Low-Resource Languages
• lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models
• Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
• Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
• Multimodal Trajectory Representation Learning for Travel Time Estimation
• FoleyGRAM: Video-to-Audio Generation with GRAM-Aligned Multimodal Encoders
• Mixture of Neuron Experts
• Early Multimodal Prediction of Cross-Lingual Meme Virality on Reddit: A Time-Window Analysis
• Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI
• Membership Inference Attacks on Tokenizers of Large Language Models
• Oracle-Guided Masked Contrastive Reinforcement Learning for Visuomotor Policies
• Fine-Tuning Masked Diffusion for Provable Self-Correction
• Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics
• MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption
• BuilderBench -- A benchmark for generalist agents
• Automated Research Article Classification and Recommendation Using NLP and ML
• InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
• MASA: Rethinking the Representational Bottleneck in LoRA with Multi-A Shared Adaptation
• The New Quant: A Survey of Large Language Models in Financial Prediction and Trading
• Boomerang Distillation Enables Zero-Shot Model Size Interpolation
• Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
• Stratum: System-Hardware Co-Design with Tiered Monolithic 3D-Stackable DRAM for Efficient MoE Serving
• KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
• Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models
• Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
• Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
• The Role of Feature Interactions in Graph-based Tabular Deep Learning
• Transformers Discover Molecular Structure Without Graph Priors
• Language models for longitudinal analysis of abusive content in Billboard Music Charts
• Domain Generalization Under Posterior Drift
• Residualized Similarity for Faithfully Explainable Authorship Verification
• On the Limitations and Capabilities of Position Embeddings for Length Generalization
• GRACE: Generative Representation Learning via Contrastive Policy Optimization
• How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
• Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
• Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
• Representation Potentials of Foundation Models for Multimodal Alignment: A Survey
• HoRA: Cross-Head Low-Rank Adaptation with Joint Hypernetworks
• Rounding-Guided Backdoor Injection in Deep Learning Model Quantization
• Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
• Thai Semantic End-of-Turn Detection for Real-Time Voice Agents
• Critical appraisal of artificial intelligence for rare-event recognition: principles and pharmacovigilance case studies
• Large Language Models Hallucination: A Comprehensive Survey
• PABSA: Hybrid Framework for Persian Aspect-Based Sentiment Analysis
• Beyond Simple Fusion: Adaptive Gated Fusion for Robust Multimodal Sentiment Analysis
• Refactoring with LLMs: Bridging Human Expertise and Machine Understanding
• Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment
• Annotate Rhetorical Relations with INCEpTION: A Comparison with Automatic Approaches
• Allocation of Parameters in Transformers
• Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
• Evolutionary Computation as Natural Generative AI
• What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
• Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text
• Towards Sampling Data Structures for Tensor Products in Turnstile Streams
• Efficient Test-Time Scaling for Small Vision-Language Models
• Model-Based Ranking of Source Languages for Zero-Shot Cross-Lingual Transfer
• Neural Correlates of Language Models Are Specific to Human Language
• Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
• Evaluating Embedding Frameworks for Scientific Domain
• Improving Adversarial Robustness of Zero-Shot CLIP with Confidence-Aware Weighting
• C2|Q&gt;: A Robust Framework for Bridging Classical and Quantum Software Development
• Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
• IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
• Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation -- Technical Report for IROS 2025 RoboSense Challenge Track 4
• PGMEL: Policy Gradient-based Generative Adversarial Network for Multimodal Entity Linking
• Hyperparameter Loss Surfaces Are Simple Near their Optima
• AutoMaAS: Self-Evolving Multi-Agent Architecture Search for Large Language Models
• AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems
• HyperAdaLoRA: Accelerating LoRA Rank Allocation During Training via Hypernetworks without Sacrificing Performance
• Dissecting Transformers: A CLEAR Perspective towards Green AI
• Semantic Differentiation in Speech Emotion Recognition: Insights from Descriptive and Expressive Speech Roles
• Visual Language Model as a Judge for Object Detection in Industrial Diagrams
• VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns
• Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
• Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
• Brain-Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage
• Geometric Properties of Neural Multivariate Regression
• In-Situ Tweedie Discrete Diffusion Models
• GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
• HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
• What You See is What You Ask: Evaluating Audio Descriptions
• Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs
• Composer: A Search Framework for Hybrid Neural Architecture Design
• Sentry: Authenticating Machine Learning Artifacts on the Fly
• A Deep Learning Pipeline for Epilepsy Genomic Analysis Using GPT-2 XL and NVIDIA H100
• The Transformer Cookbook
• Neu-RadBERT for Enhanced Diagnosis of Brain Injuries and Conditions
• Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting
• Multi-Category Materials Information Extraction (Composition, Processing, Microstructure, Properties)
• SynCED-EnDe 2025: A Synthetic and Curated English - German Dataset for Critical Error Detection in Machine Translation
• Scrolling Through Chaos: The Implications of TikTok for Crisis Sensemaking
• How Foundational are Foundation Models for Time Series Forecasting?
• Social Processes in the Intensification of Online Hate: The Effects of Verbal Replies to Anti-Muslim and Anti-Jewish Posts Following 7 October 2023
• From Factoid Questions to Data Product Requests: Benchmarking Data Product Discovery over Tables and Text
• Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
• Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction
• MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
• SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence
• BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
• LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
• Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
• Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval
• Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
• TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise
• Text-Based Approaches to Item Alignment to Content Standards in Large-Scale Reading &amp; Writing Tests
• TimeScope: Towards Task-Oriented Temporal Grounding In Long Videos
• Memory-Driven Self-Improvement for Decision Making with Large Language Models
• NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training
• Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models
• The silence of the weights: an investigation of structural pruning strategies for attention-based audio signal architectures
• FITS: Towards an AI-Driven Fashion Information Tool for Sustainability
• MUVLA: Learning to Explore Object Navigation via Map Understanding
• Self-Supervised Anatomical Consistency Learning for Vision-Grounded Medical Report Generation
• Reliability Crisis of Reference-free Metrics for Grammatical Error Correction
• Accelerating LLM Inference with Precomputed Query Storage
• Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
• HiStyle: Hierarchical Style Embedding Predictor for Text-Prompt-Guided Controllable Speech Synthesis
• Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
• Better with Less: Small Proprietary Models Surpass Large Language Models in Financial Transaction Understanding
• EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
• From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining
• ProbMed: A Probabilistic Framework for Medical Multimodal Binding
• QFrBLiMP: a Quebec-French Benchmark of Linguistic Minimal Pairs
• LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
• CustomIR: Unsupervised Fine-Tuning of Dense Embeddings for Known Document Corpora
• Effective Model Pruning
• FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
• Hierarchical Reasoning Models: Perspectives and Misconceptions
• Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videos
• SafePassage: High-Fidelity Information Extraction with Black Box LLMs
• RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
• Building the EHR Foundation Model via Next Event Prediction
• FishNet++: Analyzing the capabilities of Multimodal Large Language Models in marine biology
• A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
• Spontaneous High-Order Generalization in Neural Theory-of-Mind Networks
• GateMABSA: Aspect-Image Gated Fusion for Multimodal Aspect-based Sentiment Analysis
• SecInfer: Preventing Prompt Injection via Inference-time Scaling
• VIVALDy: A Hybrid Generative Reduced-Order Model for Turbulent Flows, Applied to Vortex-Induced Vibrations
• Inductive Bias and Spectral Properties of Single-Head Attention in High Dimensions
• Environment-Aware Satellite Image Generation with Diffusion Models
• Efficient Sketching and Nearest Neighbor Search Algorithms for Sparse Vector Sets
• Reference-Free Rating of LLM Responses via Latent Information
• "Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teaching
• Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs
• UniDex: Rethinking Search Inverted Indexing with Unified Semantic Modeling
• LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection
• AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy
• Multi-Item-Query Attention for Stable Sequential Recommendation
• Dynamic Orchestration of Multi-Agent System for Real-World Multi-Image Agricultural VQA
• PEARL: Performance-Enhanced Aggregated Representation Learning
• ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying
• Graph Optimization Foundation Model: Tokenizing Graph via A Language-Model Paradigm
• Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns
• Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
• Metamorphic Testing for Audio Content Moderation Software
• FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
• ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings
• Watermarking Diffusion Language Models
• AGNOMIN -- Architecture Agnostic Multi-Label Function Name Prediction
• Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
• Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing
• Navigating prokaryotic viral genome analysis from metagenomic data
• The limits of AI for authoritarian control
• G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
• Who invented deep residual learning?
• Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions
• Hype or not? Formalizing Automatic Promotional Language Detection in Biomedical Research
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• Reinforcement Mid-Training
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• Disentangling Score Content and Performance Style for Joint Piano Rendering and Transcription
• Investigating Multi-layer Representations for Dense Passage Retrieval
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• MotionVerse: A Unified Multimodal Framework for Motion Comprehension, Generation and Editing
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• AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
• Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
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• KurdSTS: The Kurdish Semantic Textual Similarity
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• C-QUERI: Congressional Questions, Exchanges, and Responses in Institutions Dataset
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• Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
• RedHerring Attack: Testing the Reliability of Attack Detection
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• Document Summarization with Conformal Importance Guarantees
• FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
• Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
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• CollaPipe: Adaptive Segment-Optimized Pipeline Parallelism for Collaborative LLM Training in Heterogeneous Edge Networks
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• Learning Contextual Retrieval for Robust Conversational Search
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• Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models
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• Uncertainty in Semantic Language Modeling with PIXELS
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• GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference
• AWARE-FX: An Auditable Knowledge-Guided AI System for Measuring Corporate Foreign-Exchange Hedging Disclosure
• Drawing-Recode: Annotation Grounding for Parametric CAD Code Generation from Raster 2D CAD Drawings
• CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising
• Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis
• Improving Mental Health Screening and Early Risk Detection in Spanish
• Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning
• Hand-Object Interaction in the Age of Large Foundation Models:Reconstruction, Generation, and Embodied Transfer
• Does EEG Foundation Models Transfer to Speech? A Benchmark on Overt and Imagined Speech Decoding
• Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM Systems
• AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes
• Latent-Kernel Discrete Flow Maps for Few-Step Generation
• Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs
• Benchmarking Open-Ended Multi-Agent Coordination in Language Agents
• Quadratic Objective Perturbation: Curvature-Based Differential Privacy
• NorBERTo: A ModernBERT Model Trained for Portuguese with 331 Billion Tokens Corpus
• Home sharing as affordable housing for all? Revealing the exclusionary language of shared rental listings through AI
• From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement
• How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data
• A transformer-based multi-task deep learning model for urban livability evaluation by fusing remote sensing and textual geospatial data
• RELISH: LLM REgression with a Latent Iterative State Head
• Just Use XML: Revisiting Joint Translation and Label Projection
• KuaiSearch: An E-Commerce Search Dataset with Authentic Queries and Product Texts for Recall, Ranking, and Relevance
• GCT: A Granger-Causal Transformer for Multivariate Traffic Analysis in Smart Villages
• epiGPTope: A Machine Learning-Based Epitope Generator and Classifier
• Demographically-Inspired Query Variants Using an LLM
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• Bridging gaps in hate speech detection: meta-collections and benchmarks for low-resource Iberian languages
• scGMB: A scRNA‐seq Cell Classification Method Combining GCN and Mamba
• LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding Augmentation
• PLM-interact: extending protein language models to predict protein-protein interactions
• LLMulator: Generalizable Cost Modeling for Dataflow Accelerators with Input-Adaptive Control Flow
• Multiple agroecological practices use and climate change mitigation. A review
• ISACL: Internal State Analyzer for Copyrighted Training Data Leakage
• CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
• Theoretical Foundations of Representation Learning using Unlabeled Data: Statistics and Optimization
• From Global to Local: Social Bias Transfer in CLIP
• Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
• DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture
• SloPalSpeech: A 2,8000-Hour Slovak Speech Corpus from Parliamentary Data
• Reinforcement Learning on Pre-Training Data
• CompLLM: Compression for Long Context Q&A
• Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
• Charting a Decade of Computational Linguistics in Italy: The CLiC-it Corpus
• Pure Vision Language Action (VLA) Models: A Comprehensive Survey
• Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding
• Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
• Trigger Where It Hurts: Unveiling Hidden Backdoors through Sensitivity with Sensitron
• Semantic Search for Information Retrieval
• HyperAdapt: Simple High-Rank Adaptation
• TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning
• LCMF: Lightweight Cross-Modality Mambaformer for Embodied Robotics VQA
• Human-Annotated NER Dataset for the Kyrgyz Language
• Financial Risk Relation Identification through Dual-view Adaptation
• Trace Is In Sentences: Unbiased Lightweight ChatGPT-Generated Text Detector
• M4SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition
• CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
• Multi-Hierarchical Feature Detection for Large Language Model Generated Text
• An overview of neural architectures for self-supervised audio representation learning from masked spectrograms
• Advances in Large Language Models for Medicine
• Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
• Reading Images Like Texts: Sequential Image Understanding in Vision-Language Models
• WolBanking77: Wolof Banking Speech Intent Classification Dataset
• Enhancing Transformer-Based Rerankers with Synthetic Data and LLM-Based Supervision
• Bounded PCTL Model Checking of Large Language Model Outputs
• The Narcissus Hypothesis: Descending to the Rung of Illusion
• Fine-Grained Detection of AI-Generated Text Using Sentence-Level Segmentation
• Enhancing Semantic Segmentation with Continual Self-Supervised Pre-training
• Accurate and Efficient Low-Rank Model Merging in Core Space
• A Generative Framework for Personalized Sticker Retrieval
• Breaking Token Into Concepts: Exploring Extreme Compression in Token Representation Via Compositional Shared Semantics
• Enhancing Cluster Scheduling in HPC: A Continuous Transfer Learning for Real-Time Optimization
• Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
• Overview of PlantCLEF 2022: Image-based plant identification at global scale
• COLA: Context-aware Language-driven Test-time Adaptation
• Training-Free Label Space Alignment for Universal Domain Adaptation
• Pre-Trained CNN Architecture for Transformer-Based Image Caption Generation Model
• LLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source Code
• Towards Open-Ended Discovery for Low-Resource NLP
• Chat-CBM: Towards Interactive Concept Bottleneck Models with Frozen Large Language Models
• ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
• Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations
• Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora
• Transformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution
• Individualized non-uniform quantization for vector search
• SingLEM: Single-Channel Large EEG Model
• RadEval: A framework for radiology text evaluation
• TraceHiding: Scalable Machine Unlearning for Mobility Data
• nDNA -- the Semantic Helix of Artificial Cognition
• STAR: Speech-to-Audio Generation via Representation Learning
• MaskVCT: Masked Voice Codec Transformer for Zero-Shot Voice Conversion With Increased Controllability via Multiple Guidances
• SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design
• CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages
• Are you sure? Measuring models bias in content moderation through uncertainty
• Influence Guided Context Selection for Effective Retrieval-Augmented Generation
• DRES: Fake news detection by dynamic representation and ensemble selection
• Multi-task Pretraining for Enhancing Interpretable L2 Pronunciation Assessment
• Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few
• From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
• VidCLearn: A Continual Learning Approach for Text-to-Video Generation
• Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
• Evolution of Concepts in Language Model Pre-Training
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• "Digital Camouflage": The LLVM Challenge in LLM-Based Malware Detection
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• Self-Supervised Learning of Graph Representations for Network Intrusion Detection
• Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
• A Novel Differential Feature Learning for Effective Hallucination Detection and Classification
• Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
• Mental Multi-class Classification on Social Media: Benchmarking Transformer Architectures against LSTM Models
• CommonForms: A Large, Diverse Dataset for Form Field Detection
• When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
• On the de-duplication of the Lakh MIDI dataset
• KuBERT: Central Kurdish BERT Model and Its Application for Sentiment Analysis
• Leveraging Multilingual Training for Authorship Representation: Enhancing Generalization across Languages and Domains
• AHA -- Predicting What Matters Next: Online Highlight Detection Without Looking Ahead
• Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
• A Multi-Level Benchmark for Causal Language Understanding in Social Media Discourse
• MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
• The Role of Vocabularies in Learning Sparse Representations for Ranking
• LLM-Guided Co-Training for Text Classification
• Enhancing OHLC Data with Timing Features: A Machine Learning Evaluation
• DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
• BEFT: Bias-Efficient Fine-Tuning of Language Models
• RACap: Relation-Aware Prompting for Lightweight Retrieval-Augmented Image Captioning
• ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
• The Curious Case of Visual Grounding: Different Effects for Speech- and Text-based Language Encoders
• RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation
• KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
• Psychology's Questionable Research Fundamentals (QRFs): Key problems in quantitative psychology and psychological measurement beyond Questionable Research Practices (QRPs)
• Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
• Adversarially Robust Assembly Language Model for Packed Executables Detection
• How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
• Using machine learning to automate data annotation in corpus linguistics
• Dynamic Classifier-Free Diffusion Guidance via Online Feedback
• Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
• Optimizing Product Deduplication in E-Commerce with Multimodal Embeddings
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• HARE: an entity and relation centric evaluation framework for histopathology reports
• Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
• Defining and Monitoring Complex Robot Activities via LLMs and Symbolic Reasoning
• Efficient Extractive Text Summarization for Online News Articles Using Machine Learning
• Efficient Multimodal Dataset Distillation via Generative Models
• BiRQ: Bi-Level Self-Labeling Random Quantization for Self-Supervised Speech Recognition
• SPH-Net: A Co-Attention Hybrid Model for Accurate Stock Price Prediction
• Efficient and Versatile Model for Multilingual Information Retrieval of Islamic Text: Development and Deployment in Real-World Scenarios
• Real, Fake, or Manipulated? Detecting Machine-Influenced Text
• Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
• SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models
• OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
• LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
• Improving French Synthetic Speech Quality via SSML Prosody Control
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• MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment
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• MetricNet: Recovering Metric Scale in Generative Navigation Policies
• Combining Evidence and Reasoning for Biomedical Fact-Checking
• Detecting Struggling Student Programmers using Proficiency Taxonomies
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• Masked Feature Modeling Enhances Adaptive Segmentation
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• ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting
• State Space Models over Directed Graphs
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• Deep Lookup Network
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• Deep Learning-Driven Peptide Classification in Biological Nanopores
• CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
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• Event Causality Identification with Synthetic Control
• Image Realness Assessment and Localization with Multimodal Features
• RIS-FUSION: Rethinking Text-Driven Infrared and Visible Image Fusion from the Perspective of Referring Image Segmentation
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• The Few-shot Dilemma: Over-prompting Large Language Models
• Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
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• Harnessing the Power of AI in Qualitative Research: Role Assignment, Engagement, and User Perceptions of AI-Generated Follow-Up Questions in Semi-Structured Interviews
• Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
• Positional Encoding via Token-Aware Phase Attention
• LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
• Multimodal Hate Detection Using Dual-Stream Graph Neural Networks
• Empowering LLMs with Parameterized Skills for Adversarial Long-Horizon Planning
• TFANet: Three-Stage Image-Text Feature Alignment Network for Robust Referring Image Segmentation
• Module-Aware Parameter-Efficient Machine Unlearning on Transformers
• Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations
• MMCIG: Multimodal Cover Image Generation for Text-only Documents and Its Dataset Construction via Pseudo-labeling
• FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
• Match Chat: Real Time Generative AI and Generative Computing for Tennis
• Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
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• Spatio-Temporal Pruning for Compressed Spiking Large Language Models
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• A comparison of pipelines for the translation of a low resource language based on transformers
• Multi Anatomy X-Ray Foundation Model
• SENTRA: Selected-Next-Token Transformer for LLM Text Detection
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• More Similar than Dissimilar: Modeling Annotators for Cross-Corpus Speech Emotion Recognition
• Interpreting Public Sentiment in Diplomacy Events: A Counterfactual Analysis Framework Using Large Language Models
• GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models
• MusicSwarm: Biologically Inspired Intelligence for Music Composition
• LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications
• RAM++: Robust Representation Learning via Adaptive Mask for All-in-One Image Restoration
• Query-Focused Extractive Summarization for Sentiment Explanation
• Uncertainty in Authorship: Why Perfect AI Detection Is Mathematically Impossible
• EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models
• Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
• Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
• Biomedical Hypothesis Explainability with Graph-Based Context Retrieval
• AssemMate: Graph-Based LLM for Robotic Assembly Assistance
• Dynamic Span Interaction and Graph-Aware Memory for Entity-Level Sentiment Classification
• ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
• Proximal Vision Transformer: Enhancing Feature Representation through Two-Stage Manifold Geometry
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• Graph-Enhanced Retrieval-Augmented Question Answering for E-Commerce Customer Support
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• MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
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• HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator
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• Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
• The Promise of Large Language Models in Digital Health: Evidence from Sentiment Analysis in Online Health Communities
• ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation
• ReviewGraph: A Knowledge Graph Embedding Based Framework for Review Rating Prediction with Sentiment Features
• CARE: Contextual Adaptation of Recommenders for LLM-based Conversational Recommendation
• Exit Stories: Using Reddit Self-Disclosures to Understand Disengagement from Problematic Communities
• The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
• PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
• Prediction is not Explanation: Revisiting the Explanatory Capacity of Mapping Embeddings
• Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
• `My Dataset of Love': A Preliminary Mixed-Method Exploration of Human-AI Romantic Relationships
• Equinox: Holistic Fair Scheduling in Serving Large Language Models
• Compressed Models are NOT Trust-equivalent to Their Large Counterparts
• Evaluating Open-Source Vision Language Models for Facial Emotion Recognition against Traditional Deep Learning Models
• Scalable Scientific Interest Profiling Using Large Language Models
• Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling
• CCFC: Core &amp; Core-Full-Core Dual-Track Defense for LLM Jailbreak Protection
• DPad: Efficient Diffusion Language Models with Suffix Dropout
• MHSNet:An MoE-based Hierarchical Semantic Representation Network for Accurate Duplicate Resume Detection with Large Language Model
• Graph Concept Bottleneck Models
• FLAIR: Feedback Learning for Adaptive Information Retrieval
• Integrating Feedback Loss from Bi-modal Sarcasm Detector for Sarcastic Speech Synthesis
• MaskSem: Semantic-Guided Masking for Learning 3D Hybrid High-Order Motion Representation
• RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
• Explicit v.s. Implicit Memory: Exploring Multi-hop Complex Reasoning Over Personalized Information
• Hallucinations in medical devices
• REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
• Wavy Transformer
• Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
• SDEC: Semantic Deep Embedded Clustering
• The Application of Transformer-Based Models for Predicting Consequences of Cyber Attacks
• Leveraging Large Language Models for Predictive Analysis of Human Misery
• Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
• MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
• MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models
• Beyond Modality Limitations: A Unified MLLM Approach to Automated Speaking Assessment with Effective Curriculum Learning
• CASPER: Concept-integrated Sparse Representation for Scientific Retrieval
• FLARE: Fast Low-rank Attention Routing Engine
• Feature Request Analysis and Processing: Tasks, Techniques, and Trends
• TaoSR1: The Thinking Model for E-commerce Relevance Search
• HuBERT-VIC: Improving Noise-Robust Automatic Speech Recognition of Speech Foundation Model via Variance-Invariance-Covariance Regularization
• Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction
• SEA-BED: Southeast Asia Embedding Benchmark
• LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery
• Exploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection
• Towards Generalizable Human Activity Recognition: A Survey
• VELVET-Med: Vision and Efficient Language Pre-training for Volumetric Imaging Tasks in Medicine
• AI Models for Depressive Disorder Detection and Diagnosis: A Review
• MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
• A Comprehensive Review of AI Agents: Transforming Possibilities in Technology and Beyond
• What Matters for Bioacoustic Encoding
• The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
• Representing Speech Through Autoregressive Prediction of Cochlear Tokens
• TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
• Handwritten Text Recognition of Historical Manuscripts Using Transformer-Based Models
• Reference Points in LLM Sentiment Analysis: The Role of Structured Context
• CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
• NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations
• Model Interpretability and Rationale Extraction by Input Mask Optimization
• A Global Dataset of Location Data Integrity-Assessed Reforestation Efforts
• NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models
• Semantically Guided Adversarial Testing of Vision Models Using Language Models
• MoE-TTS: Enhancing Out-of-Domain Text Understanding for Description-based TTS via Mixture-of-Experts
• Delving into Dynamic Scene Cue-Consistency for Robust 3D Multi-Object Tracking
• Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing
• E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection
• Representation Quantization for Collaborative Filtering Augmentation
• Expressive Speech Retrieval using Natural Language Descriptions of Speaking Style
• Overcoming Low-Resource Barriers in Tulu: Neural Models and Corpus Creation for OffensiveLanguage Identification
• Towards the Next-generation Bayesian Network Classifiers
• ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
• Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs
• Labels or Input? Rethinking Augmentation in Multimodal Hate Detection
• Scalable Geospatial Data Generation Using AlphaEarth Foundations Model
• Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends
• Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
• Are Large Pre-trained Vision Language Models Effective Construction Safety Inspectors?
• Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling
• Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning
• MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
• STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
• A Multimodal Neural Network for Recognizing Subjective Self-Disclosure Towards Social Robots
• IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data
• Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs
• GenOM: Ontology Matching with Description Generation and Large Language Model
• Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset
• A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
• Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
• Improving Generative Cross-lingual Aspect-Based Sentiment Analysis with Constrained Decoding
• Large Language Models for Summarizing Czech Historical Documents and Beyond
• Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models
• "Here Comes the Makeup Tutorial You Asked For!": Exploring Communication Strategies and Viewer Engagement in Beauty Videos on Rednote
• Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models
• A Curriculum Learning Approach to Reinforcement Learning: Leveraging RAG for Multimodal Question Answering
• From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis
• BERTector: An Intrusion Detection Framework Constructed via Joint-dataset Learning Based on Language Model
• Meta-Metrics and Best Practices for System-Level Inference Performance Benchmarking
• Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models
• On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository
• Bridging Modality Gaps in e-Commerce Products via Vision-Language Alignment
• Interpretable Oracle Bone Script Decipherment through Radical and Pictographic Analysis with LVLMs
• Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
• GBC: Generalized Behavior-Cloning Framework for Whole-Body Humanoid Imitation
• A BERT-based Hierarchical Classification Model with Applications in Chinese Commodity Classification
• SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
• A Survey of Cognitive Distortion Detection and Classification in NLP
• Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
• Social-Sensor Identity Cloning Detection Using Weakly Supervised Deep Forest and Cryptographic Authentication
• Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data
• Artificial Intelligence, Domain AI Readiness, and Firm Productivity
• Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
• A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation
• WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization
• Exploring the Equivalence of Closed-Set Generative and Real Data Augmentation in Image Classification
• SYNAPSE-G: Bridging Large Language Models and Graph Learning for Rare Event Classification
• Improving Dense Passage Retrieval with Multiple Positive Passages
• Cross-lingual Aspect-Based Sentiment Analysis: A Survey on Tasks, Approaches, and Challenges
• LACA: Improving Cross-lingual Aspect-Based Sentiment Analysis with LLM Data Augmentation
• MPT: Motion Prompt Tuning for Micro-Expression Recognition
• Harnessing Input-Adaptive Inference for Efficient VLN
• Link Prediction for Event Logs in the Process Industry
• Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages
• Text-conditioned State Space Model For Domain-generalized Change Detection Visual Question Answering
• InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling
• M²LLM: Multi-view Molecular Representation Learning with Large Language Models
• Prompt-Based Approach for Czech Sentiment Analysis
• UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection
• Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey
• Privacy Preserving Inference of Personalized Content for Out of Matrix Users
• LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
• SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
• A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
• Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
• DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation
• Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance
• Integrating attention into explanation frameworks for language and vision transformers
• Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking
• DeCAL Tokenwise Compression
• MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
• Rethinking Tokenization for Rich Morphology: The Dominance of Unigram over BPE and Morphological Alignment
• Generating Query-Relevant Document Summaries via Reinforcement Learning
• From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations
• Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos
• LLMs for Law: Evaluating Legal-Specific LLMs on Contract Understanding
• UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
• LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval
• Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
• Towards Comprehensible Recommendation with Large Language Model Fine-tuning
• Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
• Large Language Models for Subjective Language Understanding: A Survey
• Augmenting Bias Detection in LLMs Using Topological Data Analysis
• Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
• Using LLMs to Capture Users' Temporal Context for Recommendation
• Pareto Multi-Objective Alignment for Language Models
• Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
• HGMF: A Hierarchical Gaussian Mixture Framework for Scalable Tool Invocation within the Model Context Protocol
• Heterogeneity in Entity Matching: A Survey and Experimental Analysis
• Semantic-Enhanced Time-Series Forecasting via Large Language Models
• Iterative refinement, not training objective, makes HuBERT behave differently from wav2vec 2.0
• Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression
• Modeling and Detecting Company Risks from News: A Case Study in Bloomberg News
• An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
• Préface
• A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
• Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
• Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
• Bridging Semantic Logic Gaps: A Cognition Inspired Multimodal Boundary Preserving Network for Image Manipulation Localization
• Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
• Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback
• Arce: Augmented Roberta with Contextualized Elucidations for Ner in Automated Rule Checking
• Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
• AURA: A Fine-Grained Benchmark and Decomposed Metric for Audio-Visual Reasoning
• PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
• Towards Real-World Rumor Detection: Anomaly Detection Framework with Graph Supervised Contrastive Learning
• Towards Safer AI Moderation: Evaluating LLM Moderators Through a Unified Benchmark Dataset and Advocating a Human-First Approach
• ESNERA: Empirical and semantic named entity alignment for named entity dataset merging
• Natural Language-Driven Viewpoint Navigation for Volume Exploration via Semantic Block Representation
• Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
• SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection
• Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning
• Adversarial Video Promotion Against Text-to-Video Retrieval
• Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
• Generalizing Scaling Laws for Dense and Sparse Large Language Models
• TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
• Learning the Topic, Not the Language: How LLMs Classify Online Immigration Discourse Across Languages
• Tree-Based Deep Learning for Ranking Symbolic Integration Algorithms
• Text as Any-Modality for Zero-Shot Classification by Consistent Prompt Tuning
• Aligning Effective Tokens with Video Anomaly in Large Language Models
• Deep Language Geometry: Constructing a Metric Space from LLM Weights
• Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
• Text-guided Visual Prompt DINO for Generic Segmentation
• MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging
• Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts
• Fine-Grained Safety Neurons with Training-Free Continual Projection to Reduce LLM Fine Tuning Risks
• Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
• Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts
• Large Language Model Data Generation for Enhanced Intent Recognition in German Speech
• Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge
• Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution
• Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM
• LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients
• PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
• Streamlining Admission with LOR Insights: AI-Based Leadership Assessment in Online Master's Program
• Task complexity shapes internal representations and robustness in neural networks
• Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation
• Categorising SME Bank Transactions with Machine Learning and Synthetic Data Generation
• UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
• Optimal Corpus Aware Training for Neural Machine Translation
• Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting
• B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding
• CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL
• ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Tracking
• RRRA: Resampling and Reranking through a Retriever Adapter
• A Survey on Video Temporal Grounding with Multimodal Large Language Model
• Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
• Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
• Cognitive Duality for Adaptive Web Agents
• FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
• A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
• A Study of the Framework and Real-World Applications of Language Embedding for 3D Scene Understanding
• ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos
• Disentangling Bias by Modeling Intra- and Inter-modal Causal Attention for Multimodal Sentiment Analysis
• Tesserae: Scalable Placement Policies for Deep Learning Workloads
• Self-Error Adjustment: Theory and Practice of Balancing Individual Performance and Diversity in Ensemble Learning
• An Effective Approach for Node Classification in Textual Graphs
• Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
• Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks
• Advancing Hate Speech Detection with Transformers: Insights from the MetaHate
• Revealing Temporal Label Noise in Multimodal Hateful Video Classification
• Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach
• Fine-Tuning Small Language Models (SLMs) for Autonomous Web-based Geographical Information Systems (AWebGIS)
• Uncertainty-aware Predict-Then-Optimize Framework for Equitable Post-Disaster Power Restoration
• A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
• Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
• One Model for All: Unified Try-On and Try-Off in Any Pose via LLM-Inspired Bidirectional Tweedie Diffusion
• Privacy Risk Predictions Based on Fundamental Understanding of Personal Data and an Evolving Threat Landscape
• InceptoFormer: A Multi-Signal Neural Framework for Parkinson's Disease Severity Evaluation from Gait
• CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
• GFocal: A Global-Focal Neural Operator for Solving PDEs on Arbitrary Geometries
• Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion
• Dialogue Response Prefetching Based on Semantic Similarity and Prediction Confidence of Language Model
• VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Vision Backbones
• Modelling and Classifying the Components of a Literature Review
• Leveraging large language models for SQL behavior-based database intrusion detection
• KG-Augmented Executable CoT for Mathematical Coding
• Segment Any Vehicle: Semantic and Visual Context Driven SAM and A Benchmark
• Graph Representation Learning with Massive Unlabeled Data for Rumor Detection
• I³-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
• DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
• Evaluating Selective Encryption Against Gradient Inversion Attacks
• STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements
• Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
• Slice or the Whole Pie? Utility Control for AI Models
• A Comparative Survey of PyTorch vs TensorFlow for Deep Learning: Usability, Performance, and Deployment Trade-offs
• Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
• Uncertainty-Aware GUI Agent: Adaptive Perception through Component Recommendation and Human-in-the-Loop Refinement
• Factor Augmented Supervised Learning with Text Embeddings
• LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
• Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code
• FairLangProc: A Python package for fairness in NLP
• LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations
• AttZoom: Attention Zoom for Better Visual Features
• OpenLifelogQA: An Open-Ended Multi-Modal Lifelog Question-Answering Dataset
• Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
• Cropping outperforms dropout as an augmentation strategy for training self-supervised text embeddings
• Neighborhood-Preserving Voronoi Treemaps
• User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
• Variety Is the Spice of Life: Detecting Misinformation with Dynamic Environmental Representations
• Efficient Multi-Slide Visual-Language Feature Fusion for Placental Disease Classification
• LECTOR: LLM-Enhanced Concept-based Test-Oriented Repetition for Adaptive Spaced Learning
• Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition
• RooseBERT: A New Deal For Political Language Modelling
• BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models
• Adaptive Sparse Softmax: An Effective and Efficient Softmax Variant
• ContractEval: Benchmarking LLMs for Clause-Level Legal Risk Identification in Commercial Contracts
• AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots
• Separating Shared and Domain-Specific LoRAs for Multi-Domain Learning
• Probing Syntax in Large Language Models: Successes and Remaining Challenges
• Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems
• CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction
• From literature to biodiversity data: mining arthropod organismal traits with machine learning
• PyLate: Flexible Training and Retrieval for Late Interaction Models
• FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models
• HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation
• CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning
• LLM-based IR-system for Bank Supervisors
• Realizing Scaling Laws in Recommender Systems: A Foundation-Expert Paradigm for Hyperscale Model Deployment
• Tricks and Plug-ins for Gradient Boosting with Transformers
• SLIM-LLMs: Modeling of Style-Sensory Language RelationshipsThrough Low-Dimensional Representations
• Beyond Least Squares: Robust Regression Transformer (R2T)
• Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
• Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives
• TransAM: Transformer-Based Agent Modeling for Multi-Agent Systems via Local Trajectory Encoding
• LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training
• AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models
• I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking
• GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting
• Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis
• VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
• Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
• Charting 15 years of progress in deep learning for speech emotion recognition: A replication study
• Contextual Graph Transformer: A Small Language Model for Enhanced Engineering Document Information Extraction
• User Trajectory Prediction Unifying Global and Local Temporal Information
• Versatile yet Efficient Network Traffic Analysis: Offloading Network Foundation Model to SmartNIC
• HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
• Alleviating Attention Hacking in Discriminative Reward Modeling through Interaction Distillation
• DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
• ReMoMask: Retrieval-Augmented Masked Motion Generation
• Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
• LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
• MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
• Zero-shot Compositional Action Recognition with Neural Logic Constraints
• GlaBoost: A multimodal Structured Framework for Glaucoma Risk Stratification
• Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense
• Quantum-RAG and PunGPT2: Advancing Low-Resource Language Generation and Retrieval for the Punjabi Language
• Context-Adaptive Multi-Prompt Embedding with Large Language Models for Vision-Language Alignment
• Context Guided Transformer Entropy Modeling for Video Compression
• HateClipSeg: A Segment-Level Annotated Dataset for Fine-Grained Hate Video Detection
• The Bidirectional Process Reward Model
• DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
• Empowering Tabular Data Preparation with Language Models: Why and How?
• Social Media Information Operations
• HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
• CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation
• ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings
• OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
• TeSent: A Benchmark Dataset for Fairness-aware Explainable Sentiment Classification in Telugu
• HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens
• ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
• Referring Remote Sensing Image Segmentation with Cross-view Semantics Interaction Network
• Aligning Language Models with Real-time Knowledge Editing
• How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective
• Multi-Operator Few-Shot Learning for Generalization Across PDE Families
• CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
• Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning
• Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model
• FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
• R²-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
• NATLM: Detecting Defects in NFT Smart Contracts Leveraging LLM
• T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
• DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
• Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification
• Graph-based Interaction Augmentation Network for Robust Multimodal Sentiment Analysis
• Teaching at Scale: Leveraging AI to Evaluate and Elevate Engineering Education
• UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu
• Interpreting Performance Profiles with Deep Learning
• Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
• How LLMs are Shaping the Future of Virtual Reality
• Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
• Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System
• Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection
• Learning Unified User Quantized Tokenizers for User Representation
• Decouple before Align: Visual Disentanglement Enhances Prompt Tuning
• From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
• Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models
• Multimodal Referring Segmentation: A Survey
• DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models
• Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts
• SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
• NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System
• Addressing Cold Start For next-article Recommendation
• Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
• From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media
• Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform
• TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
• Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates
• Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
• Mitigating Resolution-Drift in Federated Learning: Case of Keypoint Detection
• Enhanced Arabic Text Retrieval with Attentive Relevance Scoring
• Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
• Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation
• Foundations and Models in Modern Computer Vision: Key Building Blocks in Landmark Architectures
• MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
• What's Taboo for You? - An Empirical Evaluation of LLMs Behavior Toward Sensitive Content
• Unveiling Super Experts in Mixture-of-Experts Large Language Models
• A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
• From Image Captioning to Visual Storytelling
• Improved Algorithms for Kernel Matrix-Vector Multiplication Under Sparsity Assumptions
• Your Spending Needs Attention: Modeling Financial Habits with Transformers
• Multi-Modal Motion Retrieval by Learning a Fine-Grained Joint Embedding Space
• AGA: An adaptive group alignment framework for structured medical cross-modal representation learning
• Reinitializing weights vs units for maintaining plasticity in neural networks
• Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages
• Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition
• Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
• TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
• Real-time News Story Identification
• Quantifying surprise in clinical care: Detecting highly informative events in electronic health records with foundation models
• Opportunities and Challenges of LLMs in Education: An NLP Perspective
• Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
• OFCnetLLM: Large Language Model for Network Monitoring and Alertness
• Multilingual Political Views of Large Language Models: Identification and Steering
• RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment
• XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML
• Pre-trained Models Perform the Best When Token Distributions Follow Zipf's Law
• IFEvalCode: Controlled Code Generation
• Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors
• A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
• Towards Experiment Execution in Support of Community Benchmark Workflows for HPC
• Context-aware Rotary Position Embedding
• Intent Recognition and Out-of-Scope Detection using LLMs in Multi-party Conversations
• Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
• Generative Recommendation with Semantic IDs: A Practitioner's Handbook
• TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras
• Ashish Vaswani [wikipedia]
• Attention Is All You Need [wikipedia]
• BERT (language model) [wikipedia]
• BookCorpus [wikipedia]
• Geospatial foundation model [wikipedia]
• Information retrieval [wikipedia]
• Language model [wikipedia]
• List of large language models [wikipedia]
• Neuro-symbolic AI [wikipedia]
• Speech recognition [wikipedia]
• Transformer (deep learning) [wikipedia]

Discussions

• BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding [hn, 78 points, 5 comments]
• Bert: Pre-Training of Deep Bidirectional Transformers for Language Understanding [hn, 3 points, 0 comments]
• BERT-like (arxiv.org/abs/1810.04805) models works by doing "masked" language modeling, so instead of predicting the next token like a causal LLM, you predict an arbitrary set of tokens. In particular, [bsky, 2 points, 0 comments]
• One of the important innovations of BERT arxiv.org/abs/1810.04805, now 6 years old, was that the team released mutlilingual variants trained on 100 languages github.com/google-resea.... While the perf [bsky, 1 points, 1 comments]
• 📝 BERT arxiv.org/abs/1810.04805 [bsky, 0 points, 0 comments]
• 🎧 EP005: How BERT Mastered Language by Hiding Words 📄 BERT 🔗 https://arxiv.org/abs/1810.04805 🟢 https://podcasters.spotify.com/pod/show/yun-wu/episodes/EP005-How-BERT-Mastered-Language-by-Hiding-W [bsky, 0 points, 0 comments]
• BERT: Encoder is all you need. Also, left-to-right language modeling is NOT all you need. (Also, pre-training + finetuning 📈) https://arxiv.org/abs/1810.04805 [bsky, 0 points, 1 comments]

Related

• What the [MASK]? Making Sense of Language-Specific BERT Models
• How to Fine-Tune BERT for Text Classification?
• BERT's output layer recognizes all hidden layers? Some Intriguing Phenomena and a simple way to boost BERT
• Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?
• BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT pretraining