Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

2019/08/27 by Nils Reimers, Iryna Gurevych, Reimers, Nils +1 · 2,203 citations
Computer Science · #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.CL

paper · pdf · doi:10.48550/arxiv.1908.10084

Published at EMNLP 2019

arxiv created 2019/08/27 · arxiv updated 2019/08/28

Abstract

BERT (Devlin et al., 2018) and RoBERTa (Liu et al., 2019) has set a new state-of-the-art performance on sentence-pair regression tasks like semantic textual similarity (STS). However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10,000 sentences requires about 50 million inference computations (~65 hours) with BERT. The construction of BERT makes it unsuitable for semantic similarity search as well as for unsupervised tasks like clustering. In this publication, we present Sentence-BERT (SBERT), a modification of the pretrained BERT network that use siamese and triplet network structures to derive semantically meaningful sentence embeddings that can be compared using cosine-similarity. This reduces the effort for finding the most similar pair from 65 hours with BERT / RoBERTa to about 5 seconds with SBERT, while maintaining the accuracy from BERT. We evaluate SBERT and SRoBERTa on common STS tasks and transfer learning tasks, where it outperforms other state-of-the-art sentence embeddings methods.

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• Leveraging LLM-based agents for social science research: insights from citation network simulations
• Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
• Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models
• ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction
• The Curved Spacetime of Transformer Architectures
• ROBoto2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
• Cache Mechanism for Agent RAG Systems
• Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
• Large Lemma Miners: Can LLMs do Induction Proofs for Hardware?
• Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
• ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning
• IG-Pruning: Input-Guided Block Pruning for Large Language Models
• NSYNC: Negative Synthetic Image Generation for Contrastive Training to Improve Stylized Text-To-Image Translation
• Trove: A Flexible Toolkit for Dense Retrieval
• Towards LLM-Powered Task-Aware Retrieval of Scientific Workflows for Galaxy
• Rescuing the Unpoisoned: Efficient Defense against Knowledge Corruption Attacks on RAG Systems
• OceanAI: A Conversational Platform for Accurate, Transparent, Near-Real-Time Oceanographic Insights
• SpEx: A Spectral Approach to Explainable Clustering
• OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks
• Teaching LLMs to See and Guide: Context-Aware Real-Time Assistance in Augmented Reality
• Do Methods to Jailbreak and Defend LLMs Generalize Across Languages?
• Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
• Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
• G2: Guided Generation for Enhanced Output Diversity in LLMs
• PreferThinker: Reasoning-based Personalized Image Preference Assessment
• LIR: The First Workshop on Late Interaction and Multi Vector Retrieval @ ECIR 2026
• LingGym: How Far Are LLMs from Thinking Like Field Linguists?
• IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
• Culture Cartography: Mapping the Landscape of Cultural Knowledge
• Effect of Domain Generalization Techniques in Low Resource Systems
• Thought Branches: Interpreting LLM Reasoning Requires Resampling
• Traceable Drug Recommendation over Medical Knowledge Graphs
• Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores
• A Memory-Efficient Retrieval Architecture for RAG-Enabled Wearable Medical LLMs-Agents
• Addressing Longstanding Challenges in Cognitive Science with Language Models
• Independent Clinical Evaluation of General-Purpose LLM Responses to Signals of Suicide Risk
• How Similar Are Grokipedia and Wikipedia? A Multi-Dimensional Textual and Structural Comparison
• Cross-Platform Evaluation of Reasoning Capabilities in Foundation Models
• Value Drifts: Tracing Value Alignment During LLM Post-Training
• Hebrew Diacritics Restoration using Visual Representation
• SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling
• Graph-Enhanced Policy Optimization in LLM Agent Training
• Similarity-Distance-Magnitude Language Models
• Reasoning Path Divergence: A New Metric and Curation Strategy to Unlock LLM Diverse Thinking
• Agentic Economic Modeling
• Counterfactual-based Agent Influence Ranker for Agentic AI Workflows
• Hallucinations in Bibliographic Recommendation: Citation Frequency as a Proxy for Training Data Redundancy
• LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation
• Nudging Sustainable Choices through LLM-Generated Recommendation Explanations
• Language Through a Prism: A Spectral Approach for Multiscale Language Representations
• Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
• Voice Memory for Agentic Speech Recognition
• Continuous Online Evaluation of Recommendation Strategies in Social Science Academic Search
• CaIRec: Calibrated Modality Imputation for Incomplete Multimodal Recommendation
• RAGuard: A Layered Defense Framework for Retrieval-Augmented Generation Systems Against Data Poisoning
• Constitutional Midtraining: Content Presence Drives Alignment Gains
• CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding
• IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
• Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
• Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
• RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
• IMFuse: Instance-Aware Multi-Layer Fusion for LLM-Enhanced Sequential Recommendation
• Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
• Improving Human-Robot Teamwork in Urban Search and Rescue Through Episodic Memory of Prior Collaboration
• Do Methods Support the Claims? Intra-Paper Verification for Peer Review
• Can neurons speak? Semantic narration of vision at single-cell resolution
• Grammar as a behavioral biometric: using cognitively motivated grammar models for authorship verification
• EUDAIMONIA: Evaluating Undesirable Dynamics in AI
• Enhancing Multi-Agent Communication through Attention Steering with Context Relevance
• Is Dimensionality a Barrier for Retrieval Models?
• Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
• GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations
• Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
• Hallucination Benchmark for Speech Foundation Models
• Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
• The Rise of AI Agent Communities: Large-Scale Analysis of Discourse and Interaction on Moltbook
• From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
• Readability-Robust Code Summarization via Meta Curriculum Learning
• Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion
• ReviewSense: Transforming Customer Review Dynamics into Actionable Business Insights
• Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
• 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)
• Beyond One-Size-Fits-All: Personalized Harmful Content Detection with In-Context Learning
• DIRC-RAG: Accelerating Edge RAG with Robust High-Density and High-Loading-Bandwidth Digital In-ReRAM Computation
• Optimizing Knowledge Utilization for Multi-Intent Comment Generation with Large Language Models
• Testing Cross-Lingual Text Comprehension In LLMs Using Next Sentence Prediction
• SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens
• Iterative Critique-Refine Framework for Enhancing LLM Personalization
• Evaluating Joinable Column Discovery Approaches for Context-Aware Search
• Detecting the Use of Generative AI in Crowdsourced Surveys: Implications for Data Integrity
• Politically Speaking: LLMs on Changing International Affairs
• From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
• Talk2Ref: A Dataset for Reference Prediction from Scientific Talks
• Metadata-Driven Retrieval-Augmented Generation for Financial Question Answering
• Text Simplification with Sentence Embeddings
• From Observability Data to Diagnosis: An Evolving Multi-agent System for Incident Management in Cloud Systems
• Utilising Large Language Models for Generating Effective Counter Arguments to Anti-Vaccine Tweets
• DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning
• AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages
• Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language
• Small Language Models Offer Significant Potential for Science Community
• PixelRefer: A Unified Framework for Spatio-Temporal Object Referring with Arbitrary Granularity
• Minimizing Human Intervention in Online Classification
• COOPERA: Continual Open-Ended Human-Robot Assistance
• Evaluating Large Language Models for Stance Detection on Financial Targets from SEC Filing Reports and Earnings Call Transcripts
• Code Contribution and Credit in Science
• SwiftEmbed: Ultra-Fast Text Embeddings via Static Token Lookup for Real-Time Applications
• LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
• Modeling Political Discourse with Sentence-BERT and BERTopic
• Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models
• Agentic Meta-Orchestrator for Multi-task Copilots
• Iterative Layer Pruning for Efficient Translation Inference
• 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
• RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
• CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generation
• Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
• Knowledge-guided Continual Learning for Behavioral Analytics Systems
• Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
• TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
• LLM-Generated Negative News Headlines Dataset: Creation and Benchmarking Against Real Journalism
• Gaze-VLM:Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
• Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
• NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation
• Designing and Evaluating Hint Generation Systems for Science Education
• Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
• Preventing Catastrophic Forgetting: Behavior-Aware Sampling for Safer Language Model Fine-Tuning
• FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction
• Thought Communication in Multiagent Collaboration
• Structure-Conditional Minimum Bayes Risk Decoding
• Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
• Citation Failure: Definition, Analysis and Efficient Mitigation
• Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
• Tri-Modal Severity Fused Diagnosis across Depression and Post-traumatic Stress Disorders
• RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
• Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
• Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)
• Do Prompts Reshape Representations? An Empirical Study of Prompting Effects on Embeddings
• CircuitGuard: Mitigating LLM Memorization in RTL Code Generation Against IP Leakage
• Style Attack Disguise: When Fonts Become a Camouflage for Adversarial Intent
• NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
• Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
• Sign Language Translation with Sentence Embedding Supervision
• From Script to Stage: Automating Experimental Design for Social Simulations with LLMs
• JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation
• Selecting and Combining Large Language Models for Scalable Code Clone Detection
• Human-Agent Collaborative Paper-to-Page Crafting
• LLM-Augmented Symbolic NLU System for More Reliable Continuous Causal Statement Interpretation
• C2T-ID: Converting Semantic Codebooks to Textual Document Identifiers for Generative Search
• FlexiDataGen: An Adaptive LLM Framework for Dynamic Semantic Dataset Generation in Sensitive Domains
• SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining
• 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
• Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
• One Size Fits All? A Modular Adaptive Sanitization Kit (MASK) for Customizable Privacy-Preserving Phone Scam Detection
• Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
• IMB: An Italian Medical Benchmark for Question Answering
• PP3D: An In-Browser Vision-Based Defense Against Web Behavior Manipulation Attacks
• Med-VRAgent: A Framework for Medical Visual Reasoning-Enhanced Agents
• Evaluating LLM-Based Mobile App Recommendations: An Empirical Study
• KrishokBondhu: A Retrieval-Augmented Voice-Based Agricultural Advisory Call Center for Bengali Farmers
• PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions
• Improving Topic Modeling of Social Media Short Texts with Rephrasing: A Case Study of COVID-19 Related Tweets
• ECKO: Explainable Clinical Knowledge for Oncology
• Learning from Generalization Patterns: An Evaluation-Driven Approach to Enhanced Data Augmentation for Fine-Tuning Small Language Models
• Exemplar-Guided Planing: Enhanced LLM Agent for KGQA
• CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks
• AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
• AFRICAPTION: Establishing a New Paradigm for Image Captioning in African Languages
• Efficient Toxicity Detection in Gaming Chats: A Comparative Study of Embeddings, Fine-Tuned Transformers and LLMs
• TaxoAlign: Scholarly Taxonomy Generation Using Language Models
• StreamingThinker: Large Language Models Can Think While Reading
• OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction
• Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
• Exact Nearest-Neighbor Search on Energy-Efficient FPGA Devices
• MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
• LLM-based In-situ Thought Exchanges for Critical Paper Reading
• BiMax: Bidirectional MaxSim Score for Document-Level Alignment
• GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery
• ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings
• Mixture of Experts Approaches in Dense Retrieval Tasks
• Leveraging LLMs for Context-Aware Implicit Textual and Multimodal Hate Speech Detection
• Iterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertising
• DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
• LoRAverse: A Submodular Framework to Retrieve Diverse Adapters for Diffusion Models
• LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
• AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations
• TRI-DEP: A Trimodal Comparative Study for Depression Detection Using Speech, Text, and EEG
• Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
• Leveraging Multimodal LLM Descriptions of Activity for Explainable Semi-Supervised Video Anomaly Detection
• DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
• Intent Clustering with Shared Pseudo-Labels
• Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval
• Stealthy Dual-Trigger Backdoors: Attacking Prompt Tuning in LM-Empowered Graph Foundation Models
• Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
• Hierarchical Semantic Retrieval with Cobweb
• DPRF: A Generalizable Dynamic Persona Refinement Framework for Optimizing Behavior Alignment Between Personalized LLM Role-Playing Agents and Humans
• JEDA: Query-Free Clinical Order Search from Ambient Dialogues
• DROID: Dual Representation for Out-of-Scope Intent Detection
• When Embedding Models Meet: Procrustes Bounds and Applications
• ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
• Putting on the Thinking Hats: A Survey on Chain of Thought Fine-tuning from the Perspective of Human Reasoning Mechanism
• Stable LLM Ensemble: Interaction between Example Representativeness and Diversity
• Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP
• Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
• When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
• Beating Harmful Stereotypes Through Facts: RAG-based Counter-speech Generation
• PromptLocate: Localizing Prompt Injection Attacks
• Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs
• GOAT: A Training Framework for Goal-Oriented Agent with Tools
• Encapsulating Textual Contents into a MOC data Structure for Advanced Applications
• GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences
• Scaling Language-Centric Omnimodal Representation Learning
• 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
• Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
• Automated Skill Decomposition Meets Expert Ontologies: Bridging the Granularity Gap with LLMs
• FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks
• Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
• RAG-Pull: Imperceptible Attacks on RAG Systems for Code Generation
• Secret-Protected Evolution for Differentially Private Synthetic Text Generation
• Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
• Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
• Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval
• Quantum NLP models on Natural Language Inference
• Detecting Hallucinations in Authentic LLM-Human Interactions
• Testing and Enhancing Multi-Agent Systems for Robust Code Generation
• NIM: Neuro-symbolic Ideographic Metalanguage for Inclusive Communication
• Steering Over-refusals Towards Safety in Retrieval Augmented Generation
• Knowing Unknowns in an Age of Information Overload
• PrediQL: Automated Testing of GraphQL APIs with LLMs
• SimKey: A Semantically Aware Key Module for Watermarking Language Models
• Are LLMs Empathetic to All? Investigating the Influence of Multi-Demographic Personas on a Model's Empathy
• Diversity Augmentation of Dynamic User Preference Data for Boosting Personalized Text Summarizers
• Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
• Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
• SkillOS: Learning Skill Curation for Self-Evolving Agents
• The Geometry of Forgetting
• Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
• Evolution of wartime discourse on Telegram: A comparative study of Ukrainian and Russian policymakers' communication before and after Russia's full-scale invasion of Ukraine
• HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
• iBERT: Interpretable Style Embeddings via Sense Decomposition
• Mapping Semantic & Syntactic Relationships with Geometric Rotation
• From Birdwatch to Community Notes, from Twitter to X: four years of community-based content moderation
• SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
• Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
• Can We Reliably Rank Model Performance across Domains without Labeled Data?
• A Living Review Pipeline for AI/ML Applications in Accelerator Physics
• CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation
• Maple: A Multi-agent System for Portable Deep Learning across Clusters
• When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs
• FrameEOL: Semantic Frame Induction using Causal Language Models
• Semantic-Condition Tuning: Fusing Graph Context with Large Language Models for Knowledge Graph Completion
• A Human Behavioral Baseline for Collective Governance in Software Projects
• When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach
• GRETEL: A Goal-driven Retrieval and Execution-based Trial Framework for LLM Tool Selection Enhancing
• ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
• One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations
• DeepPrune: Parallel Scaling without Inter-trace Redundancy
• Leveraging Whisper Embeddings for Audio-based Lyrics Matching
• HySim-LLM: Embedding-Weighted Fine-Tuning Bounds and Manifold Denoising for Domain-Adapted LLMs
• From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
• Multilingual Generative Retrieval via Cross-lingual Semantic Compression
• FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling
• MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation
• Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning
• Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings
• RAG4Tickets: AI-Powered Ticket Resolution via Retrieval-Augmented Generation on JIRA and GitHub Data
• Self-Improving LLM Agents at Test-Time
• ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
• Measuring the Hidden Cost of Data Valuation through Collective Disclosure
• On the Alignment Between Supervised and Self-Supervised Contrastive Learning
• Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
• Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
• Investigating Thematic Patterns and User Preferences in LLM Interactions using BERTopic
• When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
• Bridged Clustering: Semi-Supervised Sparse Bridging
• Reasoning for Hierarchical Text Classification: The Case of Patents
• Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
• Search-R3: Unifying Reasoning and Embedding in Large Language Models
• SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora
• A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
• Mapping global bee research with traits and plant-pollinator interaction networks
• ImageNet-Think-250K: A Large-Scale Synthetic Dataset for Multimodal Reasoning for Vision Language Models
• Iterative design of a NAND hybrid riboswitch by deep batch Bayesian optimization
• Exposing Citation Vulnerabilities in Generative Engines
• Text2Stories: Evaluating the Alignment Between Stakeholder Interviews and Generated User Stories
• Study on LLMs for Promptagator-Style Dense Retriever Training
• TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
• PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs
• Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
• Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
• How Confident are Video Models? Empowering Video Models to Express their Uncertainty
• A Framework for Measuring How News Topics Drive Stock Movement
• Controllable Stylistic Text Generation with Train-Time Attribute-Regularized Diffusion
• Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
• RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
• Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs
• ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented Generation
• Automated Research Article Classification and Recommendation Using NLP and ML
• Redefining Cost Estimation in Database Systems: The Role of Execution Plan Features and Machine Learning
• Scalable In-context Ranking with Generative Models
• DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
• Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
• ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
• Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
• Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
• Fine-grained auxiliary learning for real-world product recommendation
• Residualized Similarity for Faithfully Explainable Authorship Verification
• AWARE, Beyond Sentence Boundaries: A Contextual Transformer Framework for Identifying Cultural Capital in STEM Narratives
• GRACE: Generative Representation Learning via Contrastive Policy Optimization
• Challenge on Optimization of Context Collection for Code Completion
• Learning Representations Through Contrastive Neural Model Checking
• Chronological Thinking in Full-Duplex Spoken Dialogue Language Models
• RLRF: Competitive Search Agent Design via Reinforcement Learning from Ranker Feedback
• LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
• SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
• Systematic Diagnosis of Brittle Reasoning in Large Language Models
• How Catastrophic is Your LLM? Certifying Risk in Conversation
• MetaMuse: Algorithm Generation via Creative Ideation
• TreePrompt: Leveraging Hierarchical Few-Shot Example Selection for Improved English-Persian and English-German Translation
• Generating High-Level Test Cases from Requirements using LLM: An Industry Study
• Triplet-Structured Knowledge Integration for Multi-Turn Medical Reasoning
• Consistent Kernel Change-Point Detection under m-Dependence for Text Segmentation
• External Data Extraction Attacks against Retrieval-Augmented Large Language Models
• Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
• Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
• LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
• SEER: The Span-based Emotion Evidence Retrieval Benchmark
• Learning Efficient Guardrails for Compliance
• ModernVBERT: Towards Smaller Visual Document Retrievers
• LLM Routing with Dueling Feedback
• MultiPhysio-HRC: Multimodal Physiological Signals Dataset for industrial Human-Robot Collaboration
• PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
• JoyAgent-JDGenie: Technical Report on the GAIA
• Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing
• TokMem: Tokenized Procedural Memory for Large Language Models
• Learning Compact Representations of LLM Abilities via Item Response Theory
• RealClass: A Framework for Classroom Speech Simulation with Public Datasets and Game Engines
• Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
• Stochastic Self-Organization in Multi-Agent Systems
• Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
• Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
• PrimeX: A Dataset of Worldview, Opinion, and Explanation
• Automatic Fact-checking in English and Telugu
• MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
• An Experimental Study on Generating Plausible Textual Explanations for Video Summarization
• CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models
• RAE: A Neural Network Dimensionality Reduction Method for Nearest Neighbors Preservation in Vector Search
• Better with Less: Small Proprietary Models Surpass Large Language Models in Financial Transaction Understanding
• V-HUB: A Visual-Centric Humor Understanding Benchmark for Video LLMs
• Think Less, Label Better: Multi-Stage Domain-Grounded Synthetic Data Generation for Fine-Tuning Large Language Models in Telecommunications
• CustomIR: Unsupervised Fine-Tuning of Dense Embeddings for Known Document Corpora
• SafePassage: High-Fidelity Information Extraction with Black Box LLMs
• Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
• How Well Do LLMs Imitate Human Writing Style?
• Of-SemWat: High-payload text embedding for semantic watermarking of AI-generated images with arbitrary size
• HarmMetric Eval: Benchmarking Metrics and Judges for LLM Harmfulness Assessment
• Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters
• ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying
• Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
• ViReSkill: Vision-Grounded Replanning with Skill Memory for LLM-Based Planning in Lifelong Robot Learning
• Model Correlation Detection via Random Selection Probing
• Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation
• GeoVLM-R1: Reinforcement Fine-Tuning for Improved Remote Sensing Reasoning
• Pretraining with hierarchical memories: separating long-tail and common knowledge
• Assessing Large Language Models in Updating Their Forecasts with New Information
• AnveshanaAI: A Multimodal Platform for Adaptive AI/ML Education through Automated Question Generation and Interactive Assessment
• Semantic Representation of Processes with Ontology Design Patterns
• Enhancing LLM Steering through Sparse Autoencoder-Based Vector Refinement
• An Senegalese Legal Texts Structuration Using LLM-augmented Knowledge Graph
• BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart
• Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion
• LLM Watermark Evasion via Bias Inversion
• Open-Vocabulary Spatio-Temporal Scene Graph for Robot Perception and Teleoperation Planning
• Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks
• The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
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• MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation
• Semantic Agreement Enables Efficient Open-Ended LLM Cascades
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• KurdSTS: The Kurdish Semantic Textual Similarity
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• GRAB: A Risk Taxonomy--Grounded Benchmark for Unsupervised Topic Discovery in Financial Disclosures
• What Should I Cite? A RAG Benchmark for Academic Citation Prediction
• The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations
• MMPlanner: Zero-Shot Multimodal Procedural Planning with Chain-of-Thought Object State Reasoning
• QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance
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• One Model, Many Morals: Uncovering Cross-Linguistic Misalignments in Computational Moral Reasoning
• Position: Human Factors Reshape Adversarial Analysis in Human-AI Decision-Making Systems
• Interactive Recommendation Agent with Active User Commands
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• Query-Centric Graph Retrieval Augmented Generation
• SGMem: Sentence Graph Memory for Long-Term Conversational Agents
• AutoIntent: AutoML for Text Classification
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• PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
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• Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
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• Stability of In-Context Learning: A Spectral Coverage Perspective
• Human Semantic Representations of Social Interactions from Moving Shapes
• Document Summarization with Conformal Importance Guarantees
• Synergistic Enhancement of Requirement-to-Code Traceability: A Framework Combining Large Language Model based Data Augmentation and an Advanced Encoder
• MIXRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
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• AutoSpec: An Agentic Framework for Automatically Drafting Patent Specification
• SteinerSQL: Graph-Guided Mathematical Reasoning for Text-to-SQL Generation
• GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models
• Creative Transformation in Literary Texts: Modelling Change Across Representational Levels
• Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
• AI-based scoring systematically underestimates conceptual understanding of linguistically weak students' explanations in physics
• GLM-RAG: Graph Language Models for Graph-Based Retrieval-Augmented Generation
• Chaos in reason: How chain-of-thought LLMs can look for an answer
• Rehearse: Stepping Back from the Confidence Cliff in Self-Improving Autoresearch
• CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising
• Diversifying Personalized Research Ideation against AI-Induced Homogenization
• GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation
• Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation
• Cocktail-Talker: Multi-Speaker Dialog Modeling in Noisy Social Environments with Turn Action GRPO
• Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning
• From Backlog Items to Security Guidance: Towards Continuous Security Compliance
• MedLLM: An Open Medical Language Model at the Sub-Billion Scale
• ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping
• CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions
• RELISH: LLM REgression with a Latent Iterative State Head
• LLM2Vec-Gen: Generative Embeddings from Large Language Models
• GCT: A Granger-Causal Transformer for Multivariate Traffic Analysis in Smart Villages
• Previously on... Automating Code Review
• MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
• Text Similarity Using Word Embeddings to Classify Misinformation
• WOER suchet, der findet nicht! Identifikation von thematisch verwandten OER-Materialien
• Enhancing Diversity in News Recommendations Increases Click-Through Rates: Insights from an Online Experiment and User Study
• A study of word embedding models for measuring topic coherence
• PhantomLint: Principled Detection of Hidden LLM Prompts in Structured Documents
• LexSemBridge: Fine-Grained Dense Representation Enhancement through Token-Aware Embedding Augmentation
• PLM-interact: extending protein language models to predict protein-protein interactions
• Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
• ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
• AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
• Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks
• Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
• Agentic AutoSurvey: Let LLMs Survey LLMs
• CCQA: Generating Question from Solution Can Improve Inference-Time Reasoning in SLMs
• Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models
• Investigating Traffic Accident Detection Using Multimodal Large Language Models
• Geometric Structures and Patterns of Meaning: A PHATE Manifold Analysis of Chinese Character Embeddings
• Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
• Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
• Are Smaller Open-Weight LLMs Closing the Gap to Proprietary Models for Biomedical Question Answering?
• AIRwaves at CheckThat! 2025: Retrieving Scientific Sources for Implicit Claims on Social Media with Dual Encoders and Neural Re-Ranking
• When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs
• Mind Your Ps and Qs: Supporting Positive Reinforcement in Moderation Through a Positive Queue
• PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
• Semantic Reformulation Entropy for Robust Hallucination Detection in QA Tasks
• Scale-free Characteristics of Multilingual Legal Texts and the Limitations of LLMs
• How Persuasive is Your Context?
• Transformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution
• SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
• Localizing Malicious Outputs from CodeLLM
• Scaling Law for Recommendation Models: Towards General-purpose User Representations
• Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
• VidCLearn: A Continual Learning Approach for Text-to-Video Generation
• Semantic-Driven Topic Modeling for Analyzing Creativity in Virtual Brainstorming
• Cognitive Linguistic Identity Fusion Score (CLIFS): A Scalable Cognition-Informed Approach to Quantifying Identity Fusion from Text
• Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability
• Long document summarization using page specific target text alignment and distilling page importance
• mmExpert: Integrating Large Language Models for Comprehensive mmWave Data Synthesis and Understanding
• GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
• MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs
• The Role of Vocabularies in Learning Sparse Representations for Ranking
• Patterns in the Transition From Founder-Leadership to Community Governance of Open Source
• Reward Hacking Mitigation using Verifiable Composite Rewards
• How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
• LibriTTS-VI: A Public Corpus and Novel Methods for Efficient Voice Impression Control
• Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
• Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval
• Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction
• SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models
• LLM-Assisted Topic Reduction for BERTopic on Social Media Data
• Efficient and Versatile Model for Multilingual Information Retrieval of Islamic Text: Development and Deployment in Real-World Scenarios
• Quantifying Self-Awareness of Knowledge in Large Language Models
• An Artificial Intelligence Driven Semantic Similarity-Based Pipeline for Rapid Literature
• Spatial-CLAP: Learning Spatially-Aware audio--text Embeddings for Multi-Source Conditions
• Reveal and Release: Iterative LLM Unlearning with Self-generated Data
• TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
• Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
• Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
• Words to Waves: Emotion-Adaptive Music Recommendation System
• PhenoGnet: A Graph-Based Contrastive Learning Framework for Disease Similarity Prediction
• MICA: Multi-Agent Industrial Coordination Assistant
• DSpAST: Disentangled Representations for Spatial Audio Reasoning with Large Language Models
• Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
• Controllable Pareto Trade-off between Fairness and Accuracy
• GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model
• Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
• The Few-shot Dilemma: Over-prompting Large Language Models
• Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety
• Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
• FedMentor: Domain-Aware Differential Privacy for Heterogeneous Federated LLMs in Mental Health
• Are You Sure You're Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis
• Don't Change My View: Ideological Bias Auditing in Large Language Models
• ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
• LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
• Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations
• Smoothed Contrastive Learning for Unsupervised Sentence Embedding
• MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
• Optimizing Agricultural Research: A RAG-Based Approach to Mycorrhizal Fungi Information
• Text Adaptation to Plain Language and Easy Read via Automatic Post-Editing Cycles
• MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch
• The Power of Framing: How News Headlines Guide Search Behavior
• Query-Focused Extractive Summarization for Sentiment Explanation
• Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims
• Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
• Graph-Enhanced Retrieval-Augmented Question Answering for E-Commerce Customer Support
• Pluralistic Off-policy Evaluation and Alignment
• Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News
• GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
• AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
• Topic Coverage-based Demonstration Retrieval for In-Context Learning
• Understanding Prompt Management in GitHub Repositories: A Call for Best Practices
• CEMTM: Contextual Embedding-based Multimodal Topic Modeling
• Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
• Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows
• A Biosecurity Agent for Lifecycle LLM Biosecurity Alignment
• Text2Sign Diffusion: A Generative Approach for Gloss-Free Sign Language Production
• GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
• Evaluating Large Language Models for Evidence-Based Clinical Question Answering
• Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
• The Language of Approval: Identifying the Drivers of Positive Feedback Online
• Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
• JU-NLP at Touché: Covert Advertisement in Conversational AI-Generation and Detection Strategies
• The anatomy of Green AI technologies: structure, evolution, and impact
• Established Psychometric vs. Ecologically Valid Questionnaires: Rethinking Psychological Assessments in Large Language Models
• Beyond the Silence: How Men Navigate Infertility Through Digital Communities and Data Sharing
• Investigating red packet fraud in Android applications: Insights from user reviews
• ZapGPT: Free-form Language Prompting for Simulated Cellular Control
• Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
• Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity
• Retrieval-Augmented Generation for Reliable Interpretation of Radio Regulations
• Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
• Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
• Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs
• SEDM: Scalable Self-Evolving Distributed Memory for Agents
• Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research
• From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
• Chat-Driven Reconfiguration of Model Predictive Control
• Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
• InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation
• LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
• SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds
• Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
• JUDGEBERT: Assessing Legal Meaning Preservation Between Sentences
• TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings
• LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ Challenge
• Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content
• ALIGNS: Unlocking nomological networks in psychological measurement through a large language model
• Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert Knowledge
• Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models
• ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation
• Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
• The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering
• Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
• ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
• GLEAM: Learning to Match and Explain in Cross-View Geo-Localization
• Biased Tales: Cultural and Topic Bias in Generating Children's Stories
• OmniMap: A General Mapping Framework Integrating Optics, Geometry, and Semantics
• NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment
• LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade
• Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector
• On the Evaluation of Conditional GANs
• How Small Transformation Expose the Weakness of Semantic Similarity Measures
• mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
• SVGauge: Towards Human-Aligned Evaluation for SVG Generation
• Benchmarking Information Retrieval Models on Complex Retrieval Tasks
• Analysis of Blood Report Images Using General Purpose Vision-Language Models
• Augmented Fine-Tuned LLMs for Enhanced Recruitment Automation
• Multimodal Fine-grained Context Interaction Graph Modeling for Conversational Speech Synthesis
• Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
• An Optimized Pipeline for Automatic Educational Knowledge Graph Construction
• Ontology-Aligned Embeddings for Data-Driven Labour Market Analytics
• KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication
• Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media
• Finding your MUSE: Mining Unexpected Solutions Engine
• ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings
• Conceptual Schema Inference for Tabular Datasets using Large Language Models
• Enhancing Technical Documents Retrieval for RAG
• MAGneT: Coordinated Multi-Agent Generation of Synthetic Multi-Turn Mental Health Counseling Sessions
• NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
• Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media
• AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
• PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming
• MLSD: A Novel Few-Shot Learning Approach to Enhance Cross-Target and Cross-Domain Stance Detection
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• Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context
• IDEAlign: Comparing Large Language Models to Human Experts in Open-ended Interpretive Annotations
• Scaling behavior of large language models in emotional safety classification across sizes and tasks
• L3Cube-IndicHeadline-ID: A Dataset for Headline Identification and Semantic Evaluation in Low-Resource Indian Languages
• Benchmarking Large Language Models for Personalized Guidance in AI-Enhanced Learning
• CLEAR: Contrastive Learning for Sentence Representation
• An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
• Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
• StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
• Avoidance Decoding for Diverse Multi-Branch Story Generation
• Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning
• Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions
• KoBLEX: Open Legal Question Answering with Multi-hop Reasoning
• Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework
• Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
• Hierarchical Motion Captioning Utilizing External Text Data Source
• Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
• AMAZe: A Multi-Agent Zero-shot Index Advisor for Relational Databases
• Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply
• Dissecting Atomic Facts: Visual Analytics for Improving Fact Annotations in Language Model Evaluation
• Understanding Fanchuan in Livestreaming Platforms: A New Form of Online Antisocial Behavior
• Decomposing and Revising What Language Models Generate
• MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems
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• Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization
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• Data Auctions for Retrieval Augmented Generation
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• Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets
• Native Logical and Hierarchical Representations with Subspace Embeddings
• ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
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• SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
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• Exploring Selective Retrieval-Augmentation for Long-Tail Legal Text Classification
• NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
• SPELUNKER: Item Similarity Search Using Large Language Models and Custom K-Nearest Neighbors
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• Continual Neural Topic Model
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• SafetyFlow: An Agent-Flow System for Automated LLM Safety Benchmarking
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• Stack Trace-Based Crash Deduplication with Transformer Adaptation
• DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking
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• InReAcTable: LLM-Powered Interactive Visual Data Story Construction from Tabular Data
• Named Entity Recognition of Historical Text via Large Language Model
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• Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
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• InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems
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• XAMT: Cross-Framework API Matching for Testing Deep Learning Libraries
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• Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework
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• Incorporating Contextual Paralinguistic Understanding in Large Speech-Language Models
• Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
• Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas
• Multi-Modal Requirements Data-based Acceptance Criteria Generation using LLMs
• ESNERA: Empirical and semantic named entity alignment for named entity dataset merging
• Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models
• BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
• Vec2Summ: Text Summarization via Probabilistic Sentence Embeddings
• Position: Ideas Should be the Center of Machine Learning Research
• A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows
• Linking Multi-Site Sex Ad Data at the Individual Level to Aid Counter-Trafficking Efforts
• LLM Unlearning using Gradient Ratio-Based Influence Estimation and Noise Injection
• MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
• EICAP: Deep Dive in Assessment and Enhancement of Large Language Models in Emotional Intelligence through Multi-Turn Conversations
• Multi-Objective Instruction-Aware Representation Learning in Procedural Content Generation RL
• LinguaFluid: Language Guided Fluid Control via Semantic Rewards in Reinforcement Learning
• Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale
• Scaling Personality Control in LLMs with Big Five Scaler Prompts
• Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models
• Omni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution
• Leveraging LLMs for Privacy-Aware Predictions in Participatory Budgeting
• Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
• Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
• A Survey on Video Temporal Grounding with Multimodal Large Language Model
• Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models
• MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification
• A multi-stage interactive writing task for the assessment of English language writing proficiency
• SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models
• A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation
• GraphProp: Training the Graph Foundation Models using Graph Properties
• UniTalker: Conversational Speech-Visual Synthesis
• Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation
• CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
• PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?
• Dialogue Response Prefetching Based on Semantic Similarity and Prediction Confidence of Language Model
• What Do Humans Hear When Interacting? Experiments on Selective Listening for Evaluating ASR of Spoken Dialogue Systems
• SSEmb: A Joint Structural and Semantic Embedding Framework for Mathematical Formula Retrieval
• Controllable Hybrid Captioner for Improved Long-form Video Understanding
• LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
• CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation
• fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
• Cropping outperforms dropout as an augmentation strategy for training self-supervised text embeddings
• Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction
• ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
• SmartLLMs Scheduler: A Framework for Cost-Effective LLMs Utilization
• Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation
• PyLate: Flexible Training and Retrieval for Late Interaction Models
• LLM-based IR-system for Bank Supervisors
• Vision Language Model-based Testing of Industrial Autonomous Mobile Robots
• CAAD: Context-Aware Adaptive Decoding for Truthful Text Generation
• SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents
• Improving Hospital Risk Prediction with Knowledge-Augmented Multimodal EHR Modeling
• MArgE: Meshing Argumentative Evidence from Multiple Large Language Models for Justifiable Claim Verification
• Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models
• Contextually Aware E-Commerce Product Question Answering using RAG
• LMAR: Language Model Augmented Retriever for Domain-specific Knowledge Indexing
• Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation
• Empowering Tabular Data Preparation with Language Models: Why and How?
• ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings
• Am I Blue or Is My Hobby Counting Teardrops? Expression Leakage in Large Language Models as a Symptom of Irrelevancy Disruption
• TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data
• Instruction-based Time Series Editing
• Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
• Aligning Language Models with Real-time Knowledge Editing
• Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
• Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data
• Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation
• Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier
• Experimental Evaluation of Dynamic Topic Modeling Algorithms
• A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights
• Activation-Guided Local Editing for Jailbreaking Attacks
• The Prosody of Emojis
• The Missing Parts: Augmenting Fact Verification with Half-Truth Detection
• CyGATE: Game-Theoretic Cyber Attack-Defense Engine for Patch Strategy Optimization
• Cued-Agent: A Collaborative Multi-Agent System for Automatic Cued Speech Recognition
• Accurate and Consistent Graph Model Generation from Text with Large Language Models
• Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
• Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
• From Static to Dynamic: A Streaming RAG Approach to Real-time Knowledge Base
• MECAT: A Multi-Experts Constructed Benchmark for Fine-Grained Audio Understanding Tasks
• Role-Aware Language Models for Secure and Contextualized Access Control in Organizations
• Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
• Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
• Text-to-SQL Task-oriented Dialogue Ontology Construction
• Accessibility Scout: Personalized Accessibility Scans of Built Environments
• Failures Are the Stepping Stones to Success: Enhancing Few-Shot In-Context Learning by Leveraging Negative Samples
• Social and Political Framing in Search Engine Results
• Real-time News Story Identification
• A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling
• Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
• Leveraging Context for Multimodal Fallacy Classification in Political Debates
• PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
• From personalized news curation to shared issue concerns in fragmentation era: a dynamic network approach by levels of issue involvement
• RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL
• IdeaBlocks: Expressing and Reusing Divergent Intents for Graphic Design Exploration using Generative AI
• Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
• Exploration on Demand: From Algorithmic Control to User Empowerment
• Modelling Adjectival Modification Effects on Semantic Plausibility
• HRIPBench: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use Drugs
• Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
• Identification of Design Recommendations for Augmented Reality Authors in Corporate Training
• Predicting Abandonment of Open Source Software Projects with An Integrated Feature Framework
• Multilingual JobBERT for Cross-Lingual Job Title Matching
• Comparison of Information Retrieval Techniques Applied to IT Support Tickets
• MemShare: Memory Efficient Inference for Large Reasoning Models through KV Cache Reuse
• Does Editing Improve Answer Quality on Stack Overflow? A Data-Driven Investigation
• Prescriptive Agents based on RAG for Automated Maintenance (PARAM)
• On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
• Uncertainty-driven Embedding Convolution
• SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers
• Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
• SDD: Self-Degraded Defense against Malicious Fine-tuning
• Modeling Insider Filing Delays in Financial Markets with an Interpretable XGBoost Framework
• K⁴: Online Log Anomaly Detection Via Unsupervised Typicality Learning
• VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
• RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
• Towards Domain Specification of Embedding Models in Medicine
• Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization
• A Similarity Measure for Comparing Conversational Dynamics
• Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks
• Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models
• DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition
• From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning
• AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
• 3D Software Synthesis Guided by Constraint-Expressive Intermediate Representation
• How Well Do LLMs Predict Prerequisite Skills? Zero-Shot Comparison to Expert-Defined Concepts
• LLM-based Embedders for Prior Case Retrieval
• Actively evaluating and learning the distinctions that matter: Vaccine safety signal detection from emergency triage notes
• Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction
• EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
• SynC: Synthetic Image Caption Dataset Refinement with One-to-many Mapping for Zero-shot Image Captioning
• DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data
• TDR: Task-Decoupled Retrieval with Fine-Grained LLM Feedback for In-Context Learning
• Transform Before You Query: A Privacy-Preserving Approach for Vector Retrieval with Embedding Space Alignment
• SCOPE: Stochastic and Counterbiased Option Placement for Evaluating Large Language Models
• E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
• Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
• MEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction Tuning for Emotion-Cause Pair Extraction
• Quantizing Text-attributed Graphs for Semantic-Structural Integration
• Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
• Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions
• SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
• GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models
• Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining
• XL-DURel: Finetuning Sentence Transformers for Ordinal Word-in-Context Classification
• FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
• How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
• PAT++: a cautionary tale about generative visual augmentation for Object Re-identification
• PARK: Personalized academic retrieval with knowledge-graphs
• CarD-T: an automated pipeline for the nomination and analysis of potential human carcinogens
• Linguistic and Embedding-Based Profiling of Texts generated by Humans and Large Language Models
• From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning
• KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs
• Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring
• Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation
• InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
• Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support
• Combining Language and Topic Models for Hierarchical Text Classification
• ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering
• Enhancing patent retrieval using automated patent summarization
• BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation
• A Computational Framework to Identify Self-Aspects in Text
• DEMONSTRATE: Zero-shot Language to Robotic Control via Multi-task Demonstration Learning
• SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models
• GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models
• S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
• Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
• Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
• Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
• Simplifications are Absolutists: How Simplified Language Reduces Word Sense Awareness in LLM-Generated Definitions
• Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
• Real-World Summarization: When Evaluation Reaches Its Limits
• TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search
• CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
• A study of search result aggregation approaches for the digital humanities
• Towards Better Code Generation: Adaptive Decoding with Uncertainty Guidance
• Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
• From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
• Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models
• H²GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs
• Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat
• Opus: A Prompt Intention Framework for Complex Workflow Generation
• An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
• Paraphrase Generation as Unsupervised Machine Translation
• Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
• Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
• Tracing the Path to Grokking: Embeddings, Dropout, and Network Activation
• LLMATCH: A Unified Schema Matching Framework with Large Language Models
• Evaluating Generated Commit Messages with Large Language Models
• Journalism-Guided Agentic In-Context Learning for News Stance Detection
• EtiCor++: Towards Understanding Etiquettical Bias in LLMs
• Language Models for Adult Service Website Text Analysis
• Can You Detect the Difference?
• Multiple Choice Learning of Low-Rank Adapters for Language Modeling
• CLOSP: A Unified Semantic Space for SAR, MSI, and Text in Remote Sensing
• Automating SPARQL Query Translations between DBpedia and Wikidata
• (Almost) Free Modality Stitching of Foundation Models
• Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media
• Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification
• Hierarchical Job Classification with Similarity Graph Integration
• TolerantECG: A Foundation Model for Imperfect Electrocardiogram
• TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
• SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
• (RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding
• CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversations
• Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
• Visually grounded emotion regulation via diffusion models and user-driven reappraisal
• Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
• SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
• A Scalable and Efficient Signal Integration System for Job Matching
• How Important is `Perfect' English for Machine Translation Prompts?
• NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance
• Adversarial Demonstration Learning for Low-resource NER Using Dual Similarity
• Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval
• KV Cache Steering for Controlling Frozen LLMs
• One Token to Fool LLM-as-a-Judge
• Structure-Augmented Reasoning Generation
• LLMCup: Ranking-Enhanced Comment Updating with LLMs
• The Impact of Automatic Speech Transcription on Speaker Attribution
• AutoRAG-LoRA: Hallucination-Triggered Knowledge Retuning via Lightweight Adapters
• PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts
• Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging
• Transforming Sensitive Documents into Quantitative Data: An AI-Based Preprocessing Toolchain for Structured and Privacy-Conscious Analysis
• CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation
• Towards Efficient Quantity Retrieval from Text:An Approach via Description Parsing and Weak Supervision
• VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
• Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
• CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews
• Societal AI Research Has Become Less Interdisciplinary
• Revisiting Graph Projections for Effective Complementary Product Recommendation
• GRASP: Generic Reasoning And SPARQL Generation across Knowledge Graphs
• Beyond the Linear Separability Ceiling: Aligning Representations in VLMs
• ODIA: Oriented Distillation for Inline Acceleration of LLM-based Function Calling
• Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning
• Shuffling for Semantic Secrecy
• Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors
• Improving Clustering on Occupational Text Data through Dimensionality Reduction
• SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment
• ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints
• Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings
• RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
• CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMs
• Attention-Aware GNN-based Input Defense against Multi-Turn LLM Jailbreak
• FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation
• TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text
• Enhancing Food-Domain Question Answering with a Multimodal Knowledge Graph: Hybrid QA Generation and Diversity Analysis
• DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
• Towards Theme Detection in Personal Finance Questions
• Self-Consistency in Vision-Language Models for Precision Agriculture: Multi-Response Consensus for Crop Disease Management
• Data-Semantics-Aware Recommendation of Diverse Pivot Tables
• An Ensemble Embedding Approach for Improving Semantic Caching Performance in LLM-based Systems
• DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations
• Fair Domain Generalization: An Information-Theoretic View
• SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
• Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
• Beyond Retrieval: Ensembling Cross-Encoders and GPT Rerankers with LLMs for Biomedical QA
• DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation
• Conditional Multi-Stage Failure Recovery for Embodied Agents
• Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS
• SERUM: State Extraction and Refinement for User Modeling
• Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives
• Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation
• Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
• Spatio-Temporal LLM: Reasoning about Environments and Actions
• IDAGC: Adaptive Generalized Human-Robot Collaboration via Human Intent Estimation and Multimodal Policy Learning
• Reproducing LightMem: Naive RAG Is Just as Good for Memory Management
• News Source Citing Patterns in AI Search Systems
• An Ontology-Guided, Deduplication-Aware Extraction Layer for Knowledge Graph Construction from Heterogeneous Documents
• Representation learning with a transformer by contrastive learning for money laundering detection
• SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
• SpiritRAG: A Q&A System for Religion and Spirituality in the United Nations Archive
• M³-Med: A Benchmark for Multi-lingual, Multi-modal, and Multi-hop Reasoning in Medical Instructional Video Understanding
• Does online sustainability communication shape public discourse? Insights from six years of tenant-housing provider interactions
• A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text
• Demystifying ChatGPT: How It Masters Genre Recognition
• Self-citation Analysis using Sentence Embeddings
• SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation
• KinyaColBERT: A Lexically Grounded Retrieval Model for Low-Resource Retrieval-Augmented Generation
• ASBERT: Siamese and Triplet network embedding for open question answering
• Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right
• MemOS: A Memory OS for AI System
• RCA Copilot: Transforming Network Data into Actionable Insights via Large Language Models
• Multimodal Mathematical Reasoning with Diverse Solving Perspective
• Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions
• Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models
• CyberRAG: An Agentic RAG cyber attack classification and reporting tool
• Efficient Code LLM Training via Distribution-Consistent and Diversity-Aware Data Selection
• Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
• SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers
• Improving Constrained Language Generation via Self-Distilled Twisted Sequential Monte Carlo
• Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models
• MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics
• Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities
• Using multi-agent architecture to mitigate the risk of LLM hallucinations
• Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
• Disentangling Similarity and Relatedness in Topic Models
• ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics
• OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
• Shaping Scientific Explanations to Expert Perspectives with Persona-Conditioned Reinforcement Learning
• Data Agent: A Holistic Architecture for Orchestrating Data+AI Ecosystems
• Long-Tailed Distribution-Aware Router For Mixture-of-Experts in Large Vision-Language Model
• The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
• Matching and Linking Entries in Historical Swedish Encyclopedias
• GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond
• A Comparative Study of Competency Question Elicitation Methods from Ontology Requirements
• FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
• Zero-Shot Skeleton-Based Action Recognition With Prototype-Guided Feature Alignment
• MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models
• Question Decomposition for Retrieval-Augmented Generation
• InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
• Unveiling Decision-Making in LLMs for Text Classification : Extraction of influential and interpretable concepts with Sparse Autoencoders
• Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation
• No Stupid Questions: An Analysis of Question Query Generation for Citation Recommendation
• GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors
• Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework
• Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph
• Holistic Artificial Intelligence in Medicine; improved performance and explainability
• What to Keep and What to Drop: Adaptive Table Filtering Framework
• Hierarchical Memory Organization for Wikipedia Generation
• StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
• Machine Assistant with Reliable Knowledge: Enhancing Student Learning via RAG-based Retrieval
• AlignEvoSkill: Towards Knowledge-Aware and Task-Aligned Agent Skill Evolution
• MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
• Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries
• Density, asymmetry and citation dynamics in scientific literature
• Generating Privacy Stories From Software Documentation
• Video Unlearning via Low-Rank Refusal Vector
• ContextCache: Context-Aware Semantic Cache for Multi-Turn Queries in Large Language Models
• Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
• Persistence Paradox in Dynamic Science
• Test-Time Consistency in Vision Language Models
• Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
• Lost at the Beginning of Reasoning
• Literature-Grounded Novelty Assessment of Scientific Ideas
• Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
• How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
• Premise Selection for a Lean Hammer
• FingerTip 20K: A Benchmark for Proactive and Personalized Mobile LLM Agents
• Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
• KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model
• "What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
• When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
• Cohort Retrieval using Dense Passage Retrieval
• TableMoE: Neuro-Symbolic Routing for Structured Expert Reasoning in Multimodal Table Understanding
• Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
• Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges
• How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?
• OAK -- Onboarding with Actionable Knowledge
• Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision
• Towards Probabilistic Question Answering Over Tabular Data
• HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization
• Scaling Speculative Decoding with Lookahead Reasoning
• ZeroVO: Visual Odometry with Minimal Assumptions
• QUITE: A Query Rewrite System Beyond Rules with LLM Agents
• Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
• Synthetic Visual Genome
• Health Sentinel: An AI Pipeline For Real-time Disease Outbreak Detection
• Thought Anchors: Which LLM Reasoning Steps Matter?
• Argument-Based Consistency in Toxicity Explanations of LLMs
• Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective
• jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval
• When Fine-Tuning Fails: Lessons from MS MARCO Passage Ranking
• Standard Applicability Judgment and Cross-jurisdictional Reasoning: A RAG-based Framework for Medical Device Compliance
• AI-Generated Song Detection via Lyrics Transcripts
• Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
• OpenEvents V1: Large-Scale Benchmark Dataset for Multimodal Event Grounding
• Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT
• Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
• Spiritual-LLM : Gita Inspired Mental Health Therapy In the Era of LLMs
• How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit
• Shrinking the Generation-Verification Gap with Weak Verifiers
• GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation
• A GenAI System for Improved FAIR Independent Biological Database Integration
• QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs
• TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
• MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
• Towards a Unified Textual Graph Framework for Spectral Reasoning via Physical and Chemical Information Fusion
• HIDE and Seek: Detecting Hallucinations in Language Models via Decoupled Representations
• Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
• From Raw Corpora to Domain Benchmarks: Automated Evaluation of LLM Domain Expertise
• V-CASS: Vision-context-aware Expressive Speech Synthesis for Enhancing User Understanding of Videos
• Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs
• Open World Scene Graph Generation using Vision Language Models
• Semantic Outlier Removal with Embedding Models and LLMs
• Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support
• Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information
• SGIC: A Self-Guided Iterative Calibration Framework for RAG
• Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion
• Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
• Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization
• ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback
• Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding
• Revela: Dense Retriever Learning via Language Modeling
• REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing
• Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation
• DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
• SafeMimic: Towards Safe and Autonomous Human-to-Robot Imitation for Mobile Manipulation
• MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
• COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation
• Understanding Verbatim Memorization in LLMs Through Circuit Discovery
• Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation
• Exploring MLLMs Perception of Network Visualization Principles
• Can Vision Language Models Understand Mimed Actions?
• LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
• InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking
• CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
• Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
• Reasoning with Exploration: An Entropy Perspective
• Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
• SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
• GenerationPrograms: Fine-grained Attribution with Executable Programs
• K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
• SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
• A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs
• EmoNews: A Spoken Dialogue System for Expressive News Conversations
• Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
• ASMR: Augmenting Life Scenario using Large Generative Models for Robotic Action Reflection
• FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
• Hone as You Read: A Practical Type of Interactive Summarization
• Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text
• eLog analysis for accelerators: status and future outlook
• Semantic-preserved Augmentation with Confidence-weighted Fine-tuning for Aspect Category Sentiment Analysis
• Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language
• Assessing the Role of Data Quality in Training Bilingual Language Models
• CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
• Enabling Precise Topic Alignment in Large Language Models Via Sparse Autoencoders
• Language Surgery in Multilingual Large Language Models
• CLIP the Landscape: Automated Tagging of Crowdsourced Landscape Images
• Generative Representational Learning of Foundation Models for Recommendation
• Post Persona Alignment for Multi-Session Dialogue Generation
• Unsupervised Document and Template Clustering using Multimodal Embeddings
• AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
• Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
• Improving Large Language Model Safety with Contrastive Representation Learning
• Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
• DiscoSum: Discourse-aware News Summarization
• RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?
• Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics
• Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
• Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
• Combining Log Data and Collaborative Dialogue Features to Predict Project Quality in Middle School AI Education
• Reinforcement learning fine-tuning of language model for instruction following and math reasoning
• Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval
• KI4Demokratie: An AI-Based Platform for Monitoring and Fostering Democratic Discourse
• Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
• Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
• Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
• Improving LLM-Powered EDA Assistants with RAFT
• Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
• Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
• Object Navigation with Structure-Semantic Reasoning-Based Multi-level Map and Multimodal Decision-Making LLM
• Large Language Models are Demonstration Pre-Selectors for Themselves
• Towards an Explainable Comparison and Alignment of Feature Embeddings
• Tokenization Multiplicity Leads to Arbitrary Price Variation in LLM-as-a-service
• Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment
• CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval
• DynamicMind: A Tri-Mode Thinking System for Large Language Models
• Conformal Prediction Adaptive to Unknown Subpopulation Shifts
• Urania: Differentially Private Insights into AI Use
• Static Word Embeddings for Sentence Semantic Representation
• Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
• Mechanistic Decomposition of Sentence Representations
• Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
• SweRank: Software Issue Localization with Code Ranking
• Benchmarking LLMs' Swarm intelligence
• Agentic Graph Token Reasoning
• Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes
• GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance
• Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
• Steerable Chatbots: Exploring Personalization Control Interfaces via LLM Activation Steering
• Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
• APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training
• Leveraging Reward Models for Guiding Code Review Comment Generation
• The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
• Enhancing Text Comprehension for Dyslexic Readers: A 3D Semantic Visualization Approach Using Transformer Mode
• Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems
• LeanExplore: A search engine for Lean 4 declarations
• Compositional Generalisation for Explainable Hate Speech Detection
• Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
• ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding
• Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework
• ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
• DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
• Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
• In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
• OS-W2S: An Automatic Labeling Engine for Language-Guided Open-Set Aerial Object Detection
• Building a Recommendation System Using Amazon Product Co-Purchasing Network
• Abstract Counterfactuals for Language Model Agents
• A Chaos Driven Metric for Backdoor Attack Detection
• RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph
• AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
• Leaps Beyond the Seen: Reinforced Reasoning Augmented Generation for Clinical Notes
• Enriching Location Representation with Detailed Semantic Information
• INESC-ID @ eRisk 2025: Exploring Fine-Tuned, Similarity-Based, and Prompt-Based Approaches to Depression Symptom Identification
• Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences
• LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
• Agentic Episodic Control
• Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings
• GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation
• Quantifying Misattribution Unfairness in Authorship Attribution
• Building Entity Association Mining Framework for Knowledge Discovery
• When LLMs Team Up: The Emergence of Collaborative Affective Computing
• Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
• DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
• SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization
• Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
• Memory-Efficient FastText: A Comprehensive Approach Using Double-Array Trie Structures and Mark-Compact Memory Management
• Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models
• WoMAP: World Models For Embodied Open-Vocabulary Object Localization
• ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
• Talking to Data: Designing Smart Assistants for Humanities Databases
• Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference Conversation Experience
• Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs
• EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG
• NBF at SemEval-2025 Task 5: Light-Burst Attention Enhanced System for Multilingual Subject Recommendation
• Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
• Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
• Survey of Abstract Meaning Representation: Then, Now, Future
• Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
• ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
• Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
• Test-time Vocabulary Adaptation for Language-driven Object Detection
• Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
• LegalEval-Q: A New Benchmark for The Quality Evaluation of LLM-Generated Legal Text
• Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation
• Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models
• Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
• PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
• Harnessing Large Language Models for Scientific Novelty Detection
• Bench4KE: Benchmarking Automated Competency Question Generation
• Domain Pre-training Impact on Representations
• ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation
• LKD-KGC: Domain-Specific KG Construction via LLM-driven Knowledge Dependency Parsing
• GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training
• MIR: Methodology Inspiration Retrieval for Scientific Research Problems
• Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
• Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings
• Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments
• Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models
• CoRet: Improved Retriever for Code Editing
• TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
• Hidden Persuasion: Detecting Manipulative Narratives on Social Media During the 2022 Russian Invasion of Ukraine
• MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledge
• SLOT: Structuring the Output of Large Language Models
• Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
• From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
• Prompt Engineer: Analyzing Skill Requirements in the AI Job Market
• WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch
• Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders
• EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations
• TailorSQL: An NL2SQL System Tailored to Your Query Workload
• ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
• Automatic Construction of Multiple Classification Dimensions for Managing Approaches in Scientific Papers
• Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation
• EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
• GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns
• Event-aware analysis of cross-city visitor flows using large language models and social media data
• RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
• DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
• LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations
• ZeroGUI: Automating Online GUI Learning at Zero Human Cost
• Self-Critique and Refinement for Faithful Natural Language Explanations
• Speaking images. A novel framework for the automated self-description of artworks
• Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
• Retweets, Receipts, and Resistance: Discourse, Sentiment, and Credibility in Public Health Crisis Twitter
• Latent Reasoning via Sentence Embedding Prediction
• Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models
• Pre-Training Curriculum for Multi-Token Prediction in Language Models
• Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things
• GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
• Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
• Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings
• Precise In-Parameter Concept Erasure in Large Language Models
• Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
• NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
• Chain-of-Talkers (CoTalk): Fast Human Annotation of Dense Image Captions
• LASER: Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy
• LiTEx: A Linguistic Taxonomy of Explanations for Understanding Within-Label Variation in Natural Language Inference
• StreamLink: Large-Language-Model Driven Distributed Data Engineering System
• PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding
• Enhancing Transformation from Natural Language to Signal Temporal Logic Using LLMs with Diverse External Knowledge
• STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
• A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
• Creativity in LLM-based Multi-Agent Systems: A Survey
• Test-Time Learning for Large Language Models
• Aligning Proteins and Language: A Foundation Model for Protein Retrieval
• How does Misinformation Affect Large Language Model Behaviors and Preferences?
• Disentangling Locality and Entropy in Ranking Distillation
• Something's Fishy In The Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks
• Requirements Coverage-Guided Minimization for Natural Language Test Cases
• ALAS: An Automatic Latent Alignment Score for Audio Language Models
• When Prompts Control Robots: Prompt Injection Attacks in Multi-Agent Robotic Systems
• Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity
• Benchmarking and Enhancing LLM Agents in Localizing Linux Kernel Bugs
• The Role of Diversity in In-Context Learning for Large Language Models
• Learning to Select In-Context Demonstration Preferred by Large Language Model
• Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering
• Simple and Effective Baselines for Code Summarisation Evaluation
• Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects
• Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
• SEMMA: A Semantic Aware Knowledge Graph Foundation Model
• REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
• MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
• Gatsby Without the 'E': Crafting Lipograms with LLMs
• FoodTaxo: Generating Food Taxonomies with Large Language Models
• An Automated LLM-based Pipeline for Asset-Level Database Creation to Assess Deforestation Impact
• On Robustness of Neural Semantic Parsers
• Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
• Learning Extrapolative Sequence Transformations from Markov Chains
• CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems
• PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation
• ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
• LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Models
• From Course to Skill: Evaluating LLM Performance in Curricular Analytics
• Evaluating Text Creativity across Diverse Domains: A Dataset and Large Language Model Evaluator
• Learning to Explain: Prototype-Based Surrogate Models for LLM Classification
• Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
• POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
• Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
• Knoll: Creating a Knowledge Ecosystem for Large Language Models
• Sci-LoRA: Mixture of Scientific LoRAs for Cross-Domain Lay Paraphrasing
• Reasoning Segmentation for Images and Videos: A Survey
• Enhancing Training Data Attribution with Representational Optimization
• Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection
• TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
• Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
• Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
• Frankentext: Stitching random text fragments into long-form narratives
• ProgRM: Build Better GUI Agents with Progress Rewards
• MetaGen Blended RAG: Unlocking Zero-Shot Precision for Specialized Domain Question-Answering
• Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning
• Multimodal Embeddings for 3D Similarity Search in Semantic Web-of-Things Digital-Twin Platforms
• Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
• DocNavRAG: Document-Structured Graph RAG with Stateful Evidence Construction for Complex Document Question Answering
• Auditing Data Provenance in LLM Fine-tuning via Intrinsic Distributional Fingerprints
• SemSketches-2021: experimenting with the machine processing of the pilot semantic sketches corpus
• Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis
• Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs
• Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
• HydraRAG: Structured Cross-Source Enhanced Large Language Model Reasoning
• Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback
• Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
• Learning Shared Representations from Unpaired Data
• Evaluating NLP Embedding Models for Handling Science-Specific Symbolic Expressions in Student Texts
• Refusal Direction is Universal Across Safety-Aligned Languages
• BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation
• CAIN: Hijacking LLM-Humans Conversations via Malicious System Prompts
• SPEAR: Selection-aware Personalized End-to-end Adaptive Rewriting and Retrieval for Community Search
• Lost in Permissions: Exploring the Microsoft 365 App Ecosystem
• Causal-Invariant Cross-Domain Out-of-Distribution Recommendation
• EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
• Cog-TiPRO: Iterative Prompt Refinement with LLMs to Detect Cognitive Decline via Longitudinal Voice Assistant Commands
• Foundation Models for Geospatial Reasoning: Assessing Capabilities of Large Language Models in Understanding Geometries and Topological Spatial Relations
• MuseScorer: Idea Originality Scoring At Scale
• Relative Bias: A Comparative Framework for Quantifying Bias in LLMs
• LLM-Based Emulation of the Radio Resource Control Layer: Towards AI-Native RAN Protocols
• MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
• Syntax Meets Semantics: Understanding Scientific Formulae
• Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries
• SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
• Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
• Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English
• Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI
• CRAFT: Training-Free Cascaded Retrieval for Tabular QA
• VERDI: VLM-Embedded Reasoning for Autonomous Driving
• RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection
• Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains
• Transformer-Based Models for Question Answering on COVID19
• On the Generalization vs Fidelity Paradox in Knowledge Distillation
• EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association
• Multilingual Test-Time Scaling via Initial Thought Transfer
• Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs
• Adaptive Plan-Execute Framework for Smart Contract Security Auditing
• R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
• R-TOFU: Unlearning in Large Reasoning Models
• MaxPoolBERT: Enhancing BERT Classification via Layer- and Token-Wise Aggregation
• SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models
• SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models
• Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test
• Guarded Query Routing for Large Language Models
• The Limits of Graph Samplers for Training Inductive Recommender Systems: Extended results
• Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
• Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
• A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations
• Table Foundation Models: on knowledge pre-training for tabular learning
• Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency
• MoMoE: Mixture of Moderation Experts Framework for AI-Assisted Online Governance
• From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning
• Graph-Guided Passage Retrieval for Author-Centric Structured Feedback
• MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
• Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
• Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning
• Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method
• Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
• U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding
• SEPS: A Separability Measure for Robust Unlearning in LLMs
• MAFA: A multi-agent framework for annotation
• Cross-Lingual Representation Alignment Through Contrastive Image-Caption Tuning
• Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
• New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models
• GuRE:Generative Query REwriter for Legal Passage Retrieval
• CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
• Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
• A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
• Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps
• CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
• CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs
• Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
• Real-Time Hybrid Retrieval in Hyperbolic Space for Retrieval-Augmented Generation on Edge Devices
• Retrieval Augmented Biomedical Question Answering with Weak Question Recovery and Neural Reranking for BioASQ Task 14b
• CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
• Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
• Conceptual Modeling: Topics, Themes, and Technology Trends
• AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database
• JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendation
• GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection
• CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
• topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation
• V-Mem: Modality-Routed Retrieval for Long-Term Multimodal Agentic Memory
• Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models
• Cost-effective Deployment of BERT Models in Serverless Environment
• Doc2CI: A Multi-Service Study of CI Configuration Generation Using Large Language Models
• No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
• ParticleGen: A Multi-Agent System for Particle Effects Generation
• LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
• Model alignment using inter-modal bridges
• SEED-GRPO: Semantic Entropy Enhanced GRPO for Uncertainty-Aware Policy Optimization
• The AI Gap: How Socioeconomic Status Affects Language Technology Interactions
• InteracVid: Building a Real Interactive Audio-Visual Response Dataset from Live-Chat Videos
• Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks
• Retrospex: Language Agent Meets Offline Reinforcement Learning Critic
• Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
• TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
• Relation-Aware Graph Foundation Model
• ELITE: Embedding-Less retrieval with Iterative Text Exploration
• Are vision language models robust to uncertain inputs?
• AgenTag: Attribution of AI Coding Agents from Behavioral Fingerprints
• Towards Universal Semantics With Large Language Models
• ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing
• Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
• No Gold Standard, No Problem: Reference-Free Evaluation of Taxonomies
• ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
• TI-StegoAlign: Channel-Guided Post-Training for Generative Text Steganography under Tokenization Inconsistency
• ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?
• CeQe: Grounding Lexical Retrieval in Semantic Evidence
• MTRE: Multi-Token Reliability Estimation for Hallucination Detection in VLMs
• Can Global XAI Methods Reveal Injected Behaviours in LLMs? SHAP vs Rule Extraction vs RuleSHAP
• TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes
• SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
• Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
• Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
• ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
• The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems
• Structure-Aware Semantic Chunking with Title-Chain Prefixes: A 1600-Query Evaluation and the Measurement Trap in Text-Transform Ablations
• Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language Models
• Cochain: Balancing Insufficient and Excessive Collaboration in LLM Agent Workflows
• Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
• GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?
• Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
• LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations
• Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
• Top-Down vs. Bottom-Up Approaches for Automatic Educational Knowledge Graph Construction in CourseMapper
• Evaluation and Explainability of Unsupervised Scholarly Collaboration Recommendations
• SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
• SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation
• Evidence-Unit Fairness and the Limits of Query-Adaptive Sparse-Dense Fusion in Financial Document Retrieval
• Ornithologist: Towards Trustworthy "Reasoning" about Central Bank Communications
• An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
• LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
• LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification
• H+ Embedding: Harmonizing Global and Token-Level Retrieval with Context-Dependent Phrases
• RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models
• Automatic Task Detection and Heterogeneous LLM Speculative Decoding
• Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration
• DSADF: Thinking Fast and Slow for Decision Making
• Optimization and Constraint Modeling using LLMs with a Retrieval Augmented Generation Process
• Hakim: Farsi Text Embedding Model
• Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
• Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
• A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
• Multi-Domain Audio Question Answering Toward Acoustic Content Reasoning in The DCASE 2025 Challenge
• HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling
• Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition
• MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval
• Chronocept: Instilling a Sense of Time in Machines
• Matching Tasks with Industry Groups for Augmenting Commonsense Knowledge
• Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
• GRADA: Graph-based Reranking against Adversarial Documents Attack
• KOKKAI DOC: An LLM-driven framework for scaling parliamentary representatives
• Optimizing Recommendations using Fine-Tuned LLMs
• Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research
• People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
• Behind the Byline: A Large-Scale Study of Scientific Author Contributions
• Enhancing BERTopic with Intermediate Layer Representations
• An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?
• References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
• Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
• KCluster: An LLM-based Clustering Approach to Knowledge Component Discovery
• LOG-Nav: Efficient Layout-Aware Object-Goal Navigation with Hierarchical Planning
• Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework
• Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
• PromptIQ: Who Cares About Prompts? Let System Handle It -- A Component-Aware Framework for T2I Generation
• Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 Models
• Embedding Atlas: Low-Friction, Interactive Embedding Visualization
• Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
• MAPLE: Metadata Augmented Private Language Evolution
• Unpacking Robustness in Inflectional Languages: Adversarial Evaluation and Mechanistic Insights
• Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
• The Rise of Language Models in Mining Software Repositories: A Survey
• Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
• An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
• QBR: A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public
• CORE: Collaborative Reasoning via Cross Teaching
• When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
• Embedding based retrieval for long tail search queries in ecommerce
• Exploring the Role of Diversity in Example Selection for In-Context Learning
• Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos
• DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers
• CAMOUFLAGE: Exploiting Misinformation Detection Systems Through LLM-driven Adversarial Claim Transformation
• CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
• Pingala: Prosody-Aware Decoding for Sanskrit Poetry Generation
• Mapping the Climate Change Landscape on TikTok
• MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning
• Complex totopapa: predicting the successor to pope Francis
• Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors
• Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
• Scalable Unit Harmonization in Medical Informatics via Bayesian-Optimized Retrieval and Transformer-Based Re-ranking
• Steering Large Language Models with Register Analysis for Arbitrary Style Transfer
• The Price of Meaning: Why Every Semantic Memory System Forgets
• Sustainable Hybrid Document-Routed Retrieval for Financial RAG: Resolving the Robustness-Precision Trade-off
• Language-Based Digital Twins for Elderly Cognitive Assistance
• Scalable and Interpretable Representation Alignment with Ordinal Similarity
• StepCache: Step-Level Reuse with Lightweight Verification and Selective Patching for LLM Serving
• Disentangling conviction and conformity: a Bayesian ideal point model of voting behaviour in online debates
• IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation
• Artificial Intelligence in Science: Returns, Reallocation, and Reorganization
• The Rise of AI Search: Implications for Information Markets and Human Judgement at Scale
• GreenServ: Energy-Efficient Context-Aware Dynamic Routing for Multi-Model LLM Inference
• Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
• fog: Expressing Motion and Emotion through Function Composition of AI-Generated Code
• Attractor States Emerge in Multi-Turn LLM Conversations
• CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass
• Semantic Invariance in Agentic AI
• Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth
• Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model
• Measuring Curriculum Alignment across Topical Coverage, Competency, and Cognitive Depth: A Longitudinal Framework Applied to CS2013 and CS2023
• Can We Unmask the Underground? Detecting and Predicting Hidden Forum Interactions
• Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method
• RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching
• Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation
• Towards Explainable Temporal User Profiling with LLMs
• Re-Centering Humans in LLM Personalization
• Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search
• Financial Bond Similarity Search Using Representation Learning
• Structural Hallucination in Large Language Models: A Network-Based Evaluation of Knowledge Organization and Citation Integrity
• TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability
• LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models
• Learning Retrieval Models with Sparse Autoencoders
• Synthetic Data Powers Product Retrieval for Long-tail Knowledge-Intensive Queries in E-commerce Search
• Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
• Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniques
• Power and Limitations of Aggregation in Compound AI Systems
• The TCF doesn't really A(A)ID -- Automatic Privacy Analysis and Legal Compliance of TCF-based Android Applications
• Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment
• Improving Topic Modeling by Distilling Soft Labels from Language Models
• Lyapunov Spectral Analysis of Speech Embedding Trajectories in Psychosis
• Behavioral Integrity Verification for AI Agent Skills
• Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning
• Intent Laundering: AI Safety Datasets Are Not What They Seem
• Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
• Fast approximate Bayesian multidimensional scaling with consistency guarantees
• Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages
• The Model Is Not the Product: A Dual-Pillar Architecture for Local-First Psychological Coaching
• Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
• Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
• TartuNLP at SemEval-2025 Task 5: Subject Tagging as Two-Stage Information Retrieval
• 20min-XD: A Comparable Corpus of Swiss News Articles
• Detecting Synthetic Political Narratives in Cross-Platform Social Media Discourse
• Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index
• Enhancing New-item Fairness in Dynamic Recommender Systems
• Overreliance in Writing Tasks: Exploring Similarity-Based Measures of AI Influence on Writing and Proposing a Reflective Writing Interface Intervention
• Embeddings for Preferences, Not Semantics
• An Automated Framework for Cybersecurity Policy Compliance Assessment Against Security Control Standards
• Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
• Improving Phishing Email Detection Performance of Small Large Language Models
• Are Information Retrieval Approaches Good at Harmonising Longitudinal Survey Questions in Social Science?
• Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces
• Graph Synthetic Out-of-Distribution Exposure with Large Language Models
• GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
• Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
• Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets
• CRC-Screen: Certified DNA-Synthesis Hazard Screening Under Taxonomic Shift
• Prompt Injection Attack to Tool Selection in LLM Agents
• Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets
• ELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
• An LLM-Powered Semantic Alignment Framework for Journal Recommendation
• Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation
• Deployment-Time Memorization in Foundation-Model Agents
• Tool Attention Is All You Need: Dynamic Tool Gating and Lazy Schema Loading for Eliminating the MCP/Tools Tax in Scalable Agentic Workflows
• A Cloud-Native Architecture for Human-in-Control LLM-Assisted OpenSearch in Investigative Settings
• Text Steganography with Dynamic Codebook and Multimodal Large Language Model
• MATCHA: Matching Text via Contrastive Semantic Alignment
• Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
• Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation
• PROTOCOL: Late Interaction Retrieval for Protein Homolog Search
• Learning is Forgetting: LLM Training As Lossy Compression
• How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition
• Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
• Chatbot Conversations in Physics Education: Using Artificial Intelligence to Analyze Student Reasoning through Computational Grounded Theory
• An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems
• Letting Tutor Personas Speak Up for LLMs: Learning Steering Vectors from Dialogue via Preference Optimization
• GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design
• BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literature
• TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering
• MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools
• Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
• Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding
• Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
• Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
• Assessing Capabilities of Large Language Models in Social Media Analytics: A Multi-task Quest
• Context-Aware Search and Retrieval Under Token Erasure
• Reasoning Models Know What's Important, and Encode It in Their Activations
• KIRA: Knowledge-Intensive Image Retrieval and Reasoning Architecture for Specialized Visual Domains
• FACTors: A New Dataset for Studying the Fact-checking Ecosystem
• Neuroevolution of Self-Attention Over Proto-Objects
• The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing
• Can We Enhance Bug Report Quality Using LLMs?: An Empirical Study of LLM-Based Bug Report Generation
• ReSIM: Re-ranking Binary Similarity Embeddings to Improve Function Search Performance
• Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence
• Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding
• NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
• SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning
• Reverse-Engineering Model Editing on Language Models
• Semantic Search over 9 Million Mathematical Theorems
• EnsembleLink: Accurate Record Linkage Without Training Data
• Are Whitepaper Claims Reflected in Market Structure? A Contamination-Aware Pipeline and a Power-Limited Null
• RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering
• LLM-based Semantic Search for Conversational Queries in E-commerce
• SemanticALLI: Caching Reasoning, Not Just Responses, in Agentic Systems
• Is Peer Review Really in Decline? Analyzing Review Quality across Venues and Time
• Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
• Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM)
• LIME-LLM: Probing Models with Fluent Counterfactuals, Not Broken Text
• Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models
• LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback
• Lightweight Chunk Selection for Mobile Retrieval-Augmented Generation
• CLEAR: Causal Context-Based Agentic Reasoning for Vulnerability Detection
• SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG
• AI-Assisted Peer Review Across Research Communities: From Reviewer AI Policies to LLM Review Quality
• CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence
• LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
• TAG-HGT: A Scalable and Cost-Effective Framework for Inductive Cold-Start Academic Recommendation
• HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
• PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona
• HierSum: A Global and Local Attention Mechanism for Video Summarization
• Explaining and Improving Model Behavior with k Nearest Neighbor Representations
• On the Diversity of Analogy Making in Large Language Models
• A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task
• DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent
• The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes
• CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality
• Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning
• FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language Model
• Can large language models recognize complex language errors such as zeugma?
• A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
• DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning
• ODRA: Synthesizing Cognitive Behavioral Therapy Sessions with Structured Chain-Of-Thought and Dynamic Patient Resistance
• EgoAfford: Task-Oriented Affordance Grounding via Egocentric Referring Segmentation
• CLIP-CC-Bench: Evaluating Paragraph-Level Video Descriptions in Video-Language Models
• Checked-In Secret Detection: Strings Are All You Need
• DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generation
• SurgNarrator: A Generative Retrieval Framework for Surgical Video Understanding
• Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning
• Consensus Measures for Unstructured Biomedical Text Annotations
• RAG-Stack: Co-Optimizing RAG Serving Performance and Quality
• SONAR: Task-Aware Code Summary Evaluation for LLM Consumers Without References
• Efficient Evaluation of Large Language Models via Collaborative Filtering
• Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking
• Recall Is Not Enough: A Reader-Context Diagnostic for Budget-Constrained Retrieval-Augmented Generation
• When Better Codebooks Are Not Enough: Predictive Performance and Behavioral Reliability in LLM Political Event Coding
• ECHO-PPI: Evidence-Bundled Overlapping Protein Module Detection with Hierarchical Assignment Confidence for Network Biology
• Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design Patterns
• Document Optimization for Black-Box Retrieval via Reinforcement Learning
• LUCid: Redefining Relevance For Lifelong Personalization
• How Effective Are NPM Malicious Package Detectors? A Large-Scale Empirical Study
• A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization
• Modality Reliability Guided Multimodal Recommendation
• Taxonomy-Aware Evaluation of Vision-Language Models
• Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks
• Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
• T-VEC: A Telecom-Specific Vectorization Model with Enhanced Semantic Understanding via Deep Triplet Loss Fine-Tuning
• Mining Software Repositories for Expert Recommendation
• Emo Pillars: Knowledge Distillation to Support Fine-Grained Context-Aware and Context-Less Emotion Classification
• Texture: Structured Exploration of Text Datasets
• Private Federated Learning using Preference-Optimized Synthetic Data
• Out-of-the-Box Conditional Text Embeddings from Large Language Models
• Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives
• Automated Extraction and Analysis of Developer's Rationale in Open Source Software
• Describe Anything: Detailed Localized Image and Video Captioning
• Language Models to Support Multi-Label Classification of Industrial Data
• Advancing Egocentric Video Question Answering with Multimodal Large Language Models
• Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone
• DR.FIX: Automatically Fixing Data Races at Industry Scale
• llm-jp-modernbert: A ModernBERT Model Trained on a Large-Scale Japanese Corpus with Long Context Length
• Using digital traces to analyze software work: skills, careers and programming languages
• Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
• Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
• Leveraging Language Models for Automated Patient Record Linkage
• Fully Bayesian Approaches to Topics over Time
• LLMs as Data Annotators: How Close Are We to Human Performance
• On Self-improving Token Embeddings
• TVR: Automotive System Requirement Traceability Validation and Recovery Through Retrieval-Augmented Generation
• Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
• Evaluating BERTopic on Open-Ended Data: A Case Study with Belgian Dutch Daily Narratives
• Could AI Trace and Explain the Origins of AI-Generated Images and Text?
• HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis
• Learning from Reasoning Failures via Synthetic Data Generation
• UFO2: The Desktop AgentOS
• Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
• Probing the Subtle Ideological Manipulation of Large Language Models
• Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
• Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity
• Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
• Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
• Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale Training
• MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
• Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence
• Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
• Long-context Non-factoid Question Answering in Indic Languages
• RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines
• Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models
• CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation
• An Explicit Syllogistic Legal Reasoning Framework for Large Language Models
• ConExion: Concept Extraction with Large Language Models
• Data-efficient LLM Fine-tuning for Code Generation
• ARCeR: an Agentic RAG for the Automated Definition of Cyber Ranges
• Diffusion Generative Recommendation with Continuous Tokens
• Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator
• The Digital Cybersecurity Expert: How Far Have We Come?
• Evaluating the Diversity and Quality of LLM Generated Content
• Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning
• Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation
• Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation
• OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
• Convergent Evolution in Algorithmic Space
• Mapping Similarity Spaces across Embedding Models with Synthetic Query Probing
• Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding
• CourseGraph: Finding overlaps and differences in Computer Science courses across universities
• CyberBridge: Bridging the Gap Between Cybersecurity Education and Industry
• A Mechanistic Analysis of Gender Sensitivity in Dense Retrieval Models
• DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning
• Abstract Event Causal Rules: Induction and Application
• PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
• Simulator-Grounded Large Language Models for Industrial Causal Reasoning: Tool-Use, Structured Injection, and Plant-Portable Retrieval for Wastewater Treatment Decision Support
• MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling
• GraphicBench: A Planning Benchmark for Graphic Design with Language Agents
• DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
• Video Summarization with Large Language Models
• Ai2 Scholar QA: Organized Literature Synthesis with Attribution
• Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles
• From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
• MIEB: Massive Image Embedding Benchmark
• Can LLMs Generate Tabular Summaries of Science Papers? Rethinking the Evaluation Protocol
• Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis
• Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables
• A Survey of Personalization: From RAG to Agent
• The Structural Safety Generalization Problem
• Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference
• TextSplat: Text-Guided Semantic Fusion for Generalizable Gaussian Splatting
• Visual moral inference and communication
• Quantifying the Spread of Online Incivility in Brazilian Politics
• VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG
• LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
• Quantum Large Language Model Fine-Tuning
• Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions
• The Ultimate Configuration Management Tool? Lessons from a Mixed Methods Study of Ansible's Challenges
• PCA-RAG: Principal Component Analysis for Efficient Retrieval-Augmented Generation
• A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis
• Out of Style: RAG's Fragility to Linguistic Variation
• VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering
• Towards Sustainable Creativity Support: An Exploratory Study on Prompt Based Image Generation
• MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
• The Platform Is Mostly Not a Platform: Token Economies and Agent Discourse on Moltbook
• Learning Long Short-Term Intention within Human Daily Behaviors
• Enhanced Question-Answering for Skill-based learning using Knowledge-based AI and Generative AI
• Leveraging LLMs for Multimodal Retrieval-Augmented Radiology Report Generation via Key Phrase Extraction
• AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
• Impact of Language Guidance: A Reproducibility Study
• Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
• Poly-Vector Retrieval: Reference and Content Embeddings for Legal Documents
• Identifying Aspects in Peer Reviews
• SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
• SkillFlow: Efficient Skill and Code Transfer Through Communication in Adapting AI Agents
• Decentralizing AI Memory: SHIMI, a Semantic Hierarchical Memory Index for Scalable Agent Reasoning
• Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey
• ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
• Comparing Self-Disclosure Themes and Semantics to a Human, a Robot, and a Disembodied Agent
• REVEAL: Relation-based Video Representation Learning for Video-Question-Answering
• Prεεmpt: Sanitizing Sensitive Prompts for LLMs
• Few Dimensions are Enough: Fine-tuning BERT with Selected Dimensions Revealed Its Redundant Nature
• ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
• Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction
• SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding
• Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?

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