Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

2019/08/27 by Nils Reimers, Iryna Gurevych, Reimers, Nils +1 · 1182 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining

paper · doi:10.48550/arxiv.1908.10084

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.

Cited by

• Evaluating the Effect of Linguistic Relatedness on Cross-Lingual Transfer in Large Multilingual Automatic Speech Recognition
• From transcription to semantic corpus analysis: unsupervised learning of sentence representations for ancient languages
• AGRO-SQL: Agentic Group-Relative Optimization with High-Fidelity Data Synthesis
• Multi Agents Semantic Emotion Aligned Music to Image Generation with Music Derived Captions
• Debugging Tabular Log as Dynamic Graphs
• MUSON: A Reasoning-oriented Multimodal Dataset for Socially Compliant Navigation in Urban Environments
• Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains
• Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory
• HalluMat: Detecting Hallucinations in LLM-Generated Materials Science Content Through Multi-Stage Verification
• Valori: A Deterministic Memory Substrate for AI Systems
• Hierarchical Geometry of Cognitive States in Transformer Embedding Spaces
• iOS as Acceleration
• Recursive Governance: A Graph-Theoretic Framework for Risk Propagation and Drift Detection in Agentic AI Systems
• From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction
• Advocating the potential of artificial intelligence for syndrome discovery in syndromic surveillance systems: A scoping review
• PlanCraft: Sketch, Refine, and Furnish for Architect-Inspired Progressive 3D Residential Scene Generation
• Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework
• LinkRank: A Learning-to-Rank Framework for One-to-Many Issue-Commit Traceability
• seqLens: Optimizing Language Models for Genomic Predictions
• Do LLM Debates Repeat Arguments Differently Across Languages?
• LiFT-MPC: Language-in-the-Loop Feedback Tuning of Cost Previews for MPC
• TriShieldRAG: A Three-Ring Defense-in-Depth Framework Against Knowledge Corruption in Retrieval-Augmented Generation
• The Dynamics of Human and AI-Generated Language: How Semantic Content Fluctuates Across Different Timescales
• Where Quality Breaks in Compressed Short-Text Generation: Staged Bottleneck Localization
• StanceFlip: A Comprehensive Multi-Dimensional Benchmark for Multimodal Conversational Stance Flipping Forecasting
• Beyond Direct Answering: Aligning Educational LLMs as Socratic Guides via Heuristic Reinforcement Learning
• From Signals to Behaviors: Evidence-Based Android Malware Detection
• ADAGE: A Language-Agnostic Pipeline for Analogical Reasoning Evaluation
• Interpretable Column Annotation with LLM-Symbolized Decision Process Materialization
• Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders
• The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers
• From Semantics to Readout: Mechanistic Understanding of Audio Tokens after Fine-Tuning for Temporal Audio Grounding
• HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document
• Traceable LLM Reasoning for Fake-Order Fraud Detection
• Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias
• Disentangling the Interpretive and Predictive Roles of LIWC: Controlled Substitution in Depression-Related Classification
• An Interactive Vision Language Platform for Cognitive Remediation in Schizophrenia
• MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation
• SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking
• SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generation
• Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMs
• AI-Assisted Knowledge Access for Legacy Enterprise Asset Management in Energy Operations: A Practical Retrieval System
• Agent-based simulation of online social networks and disinformation
• Source-Aware Reranking for Retrieval-Augmented Generation: A Reliability Prior Approach
• Measuring and Improving Behavioral Consistency in Large Language Models through Fact-Heuristic-Emotion State Enforcement
• GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
• HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising
• JKO-RAG: Distributional Retrieval as Wasserstein Free-Energy Gradient Flow
• SeT-Diff: Towards Semantic Foundation Models for HPC Telemetry and Time-Series
• JobMatchAI-An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
• To update or to separate: Neural signatures and consequences of latent cause inference in episodic memory
• Towards Isolated Interventions via Almost Orthogonal Features in Language Models
• Intuitive therapist robot patient physical interaction is worth a thousand words
• Explainable Statute Prediction via Attention-based Model and LLM Prompting
• MMCTOP: A Multimodal Textualization and Mixture-of-Experts Framework for Clinical Trial Outcome Prediction
• Knowledge Reasoning of Large Language Models Integrating Graph-Structured Information for Pest and Disease Control in Tobacco
• HELP: Hierarchical Embodied Language Planner for Household Tasks
• Enabling Conversational Behavior Reasoning Capabilities in Full-Duplex Speech
• ALETHEIA: Combating Social Media Influence Campaigns with Graph Neural Networks
• SENTINEL: A Multi-Modal Early Detection Framework for Emerging Cyber Threats using Telegram
• T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation
• Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding
• AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
• How important is Recall for Measuring Retrieval Quality?
• Leveraging Lightweight Entity Extraction for Scalable Event-Based Image Retrieval
• X-GridAgent: An LLM-Powered Agentic AI System for Assisting Power Grid Analysis
• Structured Visualization Design Knowledge for Grounding Generative Reasoning and Situated Feedback
• Beyond Vision: Contextually Enriched Image Captioning with Multi-Modal Retrieval
• Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs
• MemR³: Memory Retrieval via Reflective Reasoning for LLM Agents
• EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
• From Pixels to Predicates Structuring urban perception with scene graphs
• Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis
• FC-MIR: A Mobile Screen Awareness Framework for Intent-Aware Recommendation based on Frame-Compressed Multimodal Trajectory Reasoning
• Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
• Cross-modal Counterfactual Explanations: Uncovering Decision Factors and Dataset Biases in Subjective Classification
• Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
• Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
• External Hippocampus: Topological Cognitive Maps for Guiding Large Language Model Reasoning
• AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
• Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
• Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
• Reinforcement Learning for Self-Improving Agent with Skill Library
• Dynamic Tool Dependency Retrieval for Efficient Function Calling
• NRGPT: An Energy-based Alternative for GPT
• Persistent Multiscale Density-based Clustering
• From Essence to Defense: Adaptive Semantic-aware Watermarking for Embedding-as-a-Service Copyright Protection
• BrepLLM: Native Boundary Representation Understanding with Large Language Models
• Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference
• Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
• ModelTables: A Corpus of Tables about Models
• Convolutional Lie Operator for Sentence Classification
• ORACLE: Time-Dependent Recursive Summary Graphs for Foresight on News Data Using LLMs
• Social Story Frames: Contextual Reasoning about Narrative Intent and Reception
• ArcBERT: An LLM-based Search Engine for Exploring Integrated Multi-Omics Metadata
• SynGP500: A Clinically-Grounded Synthetic Dataset of Australian General Practice Medical Notes
• FAME: Fictional Actors for Multilingual Erasure
• The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
• Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms
• EVICPRESS: Joint KV-Cache Compression and Eviction for Efficient LLM Serving
• DP-Bench: A Benchmark for Evaluating Data Product Creation Systems
• IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injection
• SPARQL-LLM: Real-Time SPARQL Query Generation from Natural Language Questions
• Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
• Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes
• FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
• Beyond surface form: A pipeline for semantic analysis in Alzheimer's Disease detection from spontaneous speech
• Semantic Grounding Index: Geometric Bounds on Context Engagement in RAG Systems
• Integrating Causal Reasoning into Automated Fact-Checking
• UCRBench: Benchmarking LLMs on Use Case Recovery
• Learning to Retrieve with Weakened Labels: Robust Training under Label Noise
• A Relational Model of Neighborhood Mobility: The Role of Amenities and Cultural Alignment
• Lemon: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding
• CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence
• Intelligent Scientific Literature Explorer using Machine Learning (ISLE)
• Tacit Understanding Game (TUG): Predicting Interpersonal Compatibility
• HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks
• Semantic Distance Measurement based on Multi-Kernel Gaussian Processes
• Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
• Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
• PhraseVAE and PhraseLDM: Latent Diffusion for Full-Song Multitrack Symbolic Music Generation
• Extending a Parliamentary Corpus with MPs' Tweets: Automatic Annotation and Evaluation Using MultiParTweet
• Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modeling
• MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data
• Interpretable and Steerable Concept Bottleneck Sparse Autoencoders
• GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
• Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature
• AgriRegion: Region-Aware Retrieval for High-Fidelity Agricultural Advice
• Interpretation as Linear Transformation: A Cognitive-Geometric Model of Belief and Meaning
• Ontology-Based Knowledge Graph Framework for Industrial Standard Documents via Hierarchical and Propositional Structuring
• Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks
• Refining Diffusion Models for Motion Synthesis with an Acceleration Loss to Generate Realistic IMU Data
• Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes
• How a Bit Becomes a Story: Semantic Steering via Differentiable Fault Injection
• Luxical: High-Speed Lexical-Dense Text Embeddings
• Bridging Code Graphs and Large Language Models for Better Code Understanding
• SkipKV: Selective Skipping of KV Generation and Storage for Efficient Inference with Large Reasoning Models
• Relational Visual Similarity
• When Large Language Models Do Not Work: Online Incivility Prediction through Graph Neural Networks
• MoCoRP: Modeling Consistent Relations between Persona and Response for Persona-based Dialogue
• MASim: Multilingual Agent-Based Simulation for Social Science
• PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
• Cross-platform Product Matching Based on Entity Alignment of Knowledge Graph with RAEA model
• See Once, Then Act: Vision-Language-Action Model with Task Learning from One-Shot Video Demonstrations
• STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
• LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Job Scheduling in Smart Manufacturing
• One Word Is Not Enough: Simple Prompts Improve Word Embeddings
• Distribution-Aware Exploration for Adaptive HNSW Search
• Prompting-in-a-Series: Psychology-Informed Contents and Embeddings for Personality Recognition With Decoder-Only Models
• Graph-Regularized Sparse Autoencoders for LLM Safety Steering
• TopiCLEAR: Topic extraction by CLustering Embeddings with Adaptive dimensional Reduction
• GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning
• MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding
• Knowing What's Missing: Assessing Information Sufficiency in Question Answering
• CommentScope: A Comment-Embedded Assisted Reading System for a Long Text
• Heard or Halted? Gender, Interruptions, and Emotional Tone in U.S. Supreme Court Oral Arguments
• The Road of Adaptive AI for Precision in Cybersecurity
• ResearchArcade: Graph Interface for Academic Tasks
• AfriStereo: A Culturally Grounded Dataset for Evaluating Stereotypical Bias in Large Language Models
• Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion
• Verbalizing LLMs' assumptions to explain and control sycophancy
• OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models
• AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees
• Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
• ClusterFusion: Hybrid Clustering with Embedding Guidance and LLM Adaptation
• ConsentDiff at Scale: Longitudinal Audits of Web Privacy Policy Changes and UI Frictions
• Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs
• Overcoming State Inertia: Minimally Invasive Temporal Alignment for Evolving Contexts
• ProcObject-10K: Benchmarking Object-Centric Procedural Understanding in Instructional Videos
• Semantic Nutrition Estimation: Predicting Food Healthfulness from Text Descriptions
• Enhancing Job Matching: Occupation, Skill and Qualification Linking with the ESCO and EQF taxonomies
• GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace
• SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
• Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Code
• Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
• GPTrace: Effective Crash Deduplication Using LLM Embeddings
• LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems
• Label Forensics: Interpreting Hard Labels in Black-Box Text Classifier
• Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
• Language-Guided Open-World Anomaly Segmentation
• MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
• Patient Safety Risks from AI Scribes: Signals from End-User Feedback
• Advancing Academic Chatbots: Evaluation of Non Traditional Outputs
• Graph Queries from Natural Language using Constrained Language Models and Visual Editing
• WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models
• Bias Injection Attacks on RAG Databases and Sanitization Defenses
• SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
• CourseTimeQA: A Lecture-Video Benchmark and a Latency-Constrained Cross-Modal Fusion Method for Timestamped QA
• Toward Automated and Trustworthy Scientific Analysis and Visualization with LLM-Generated Code
• Tracing How Annotators Think: Augmenting Preference Judgments with Reading Processes
• Learning to Prioritize IT Tickets: A Comparative Evaluation of Embedding-based Approaches and Fine-Tuned Transformer Models
• Language-guided 3D scene synthesis for fine-grained functionality understanding
• Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction
• Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
• A transfer learning approach for automatic conflicts detection in software requirement sentence pairs based on dual encoders
• Pooling Attention: Evaluating Pretrained Transformer Embeddings for Deception Classification
• Experts are all you need: A Composable Framework for Large Language Model Inference
• A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions
• A Taxonomy-Driven Case Study of Australian Web Resources Against Technology-Facilitated Abuse
• Bandit Guided Submodular Curriculum for Adaptive Subset Selection
• Tackling a Challenging Corpus for Early Detection of Gambling Disorder: UNSL at MentalRiskES 2025
• Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings
• Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on r/learnprogramming
• Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem
• Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
• From Compound Figures to Composite Understanding: Developing a Multi-Modal LLM from Biomedical Literature with Medical Multiple-Image Benchmarking and Validation
• Real-PGDN: A Two-level Classification Method for Full-Process Recognition of Newly Registered Pornographic and Gambling Domain Names
• PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and Fuzz Optimization
• BAMAS: Structuring Budget-Aware Multi-Agent Systems
• Unsupervised Multimodal Graph-based Model for Geo-social Analysis
• MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
• Subgoal Graph-Augmented Planning for LLM-Guided Open-World Reinforcement Learning
• Generating Querying Code from Text for Multi-Modal Electronic Health Record
• Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
• SPHINX: A Synthetic Environment for Visual Perception and Reasoning
• Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
• Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization
• Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
• DesignPref: Capturing Personal Preferences in Visual Design Generation
• NormEval: A Unified Multi-Metric Framework for Evaluating Semantic Fidelity in Text Normalization
• A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
• Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization
• Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
• Online-PVLM: Advancing Personalized VLMs with Online Concept Learning
• Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025
• Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
• Accuracy and Efficiency Trade-Offs in LLM-Based Malware Detection and Explanation: A Comparative Study of Parameter Tuning vs. Full Fine-Tuning
• Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
• UISearch: Graph-Based Embeddings for Multimodal Enterprise UI Screenshots Retrieval
• FilmSceneDesigner: Chaining Set Design for Procedural Film Scene Generation
• ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay
• Benchmarking Corruption Robustness of LVLMs: A Discriminative Benchmark and Robustness Alignment Metric
• A Reproducible Framework for Neural Topic Modeling in Focus Group Analysis
• Yo'City: Personalized and Boundless 3D Realistic City Scene Generation via Self-Critic Expansion
• Comparative Analysis of LoRA-Adapted Embedding Models for Clinical Cardiology Text Representation
• Scalable Parameter-Light Spectral Method for Clustering Short Text Embeddings with a Cohesion-Based Evaluation Metric
• What Helps Language Models Predict Human Beliefs: Demographics or Prior Stances?
• From Reviewers' Lens: Understanding Bug Bounty Report Invalid Reasons with LLMs
• LLM Assisted Coding with Metamorphic Specification Mutation Agent
• Consolidating Diffusion-Generated Video Detection with Unified Multimodal Forgery Learning
• Paper2SysArch: Structure-Constrained System Architecture Generation from Scientific Papers
• GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set
• Blu-WERP (Web Extraction and Refinement Pipeline): A Scalable Pipeline for Preprocessing Large Language Model Datasets
• EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants
• M³-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
• REMSA: An LLM Agent for Foundation Model Selection in Remote Sensing
• SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
• Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
• CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report Retrieval
• A Benchmark for Procedural Memory Retrieval in Language Agents
• Monte Carlo Expected Threat (MOCET) Scoring
• Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation
• Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies
• WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue
• When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models
• Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
• TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
• Two-Faced Social Agents: Context Collapse in Role-Conditioned Large Language Models
• Quality-Controlled Multimodal Emotion Recognition in Conversations with Identity-Based Transfer Learning and MAMBA Fusion
• Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
• Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
• Mitigating Label Length Bias in Large Language Models
• Technique to Baseline QE Artefact Generation Aligned to Quality Metrics
• RoboTidy : A 3D Gaussian Splatting Household Tidying Benchmark for Embodied Navigation and Action
• SweeperBot: Making 3D Browsing Accessible through View Analysis and Visual Question Answering
• Beyond Surface-Level Similarity: Hierarchical Contamination Detection for Synthetic Training Data in Foundation Models
• TaoSearchEmb: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
• Hierarchical Retrieval with Out-Of-Vocabulary Queries: A Case Study on SNOMED CT
• PolicyBot - Reliable Question Answering over Policy Documents
• Attention Grounded Enhancement for Visual Document Retrieval
• Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interaction
• Unifying points of interest taxonomies: mapping OpenStreetMap tags to the Foursquare category system
• Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning
• EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation
• Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
• Assessing Large Language Models in Generating RTL Design Specifications
• Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning
• Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
• Multimodal Large Language Models as Image Classifiers
• Difficulty-Controllable Cloze Question Distractor Generation
• MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized prompts
• RLHF May Not Reflect Genuine Preferences
• CAT-ID²: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
• Entailment as Few-Shot Learner
• ConneX: Automatically Resolving Transaction Opacity of Cross-Chain Bridges for Security Analysis
• RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
• Exploring question answering: metric analysis and evaluation framework for enhanced interpretability
• Evaluating Embedding Generalization: How LLMs, LoRA, and SLERP Shape Representational Geometry
• HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
• Hi-Reco: High-Fidelity Real-Time Conversational Digital Humans
• LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning
• Evolving Prompts for Toxicity Search in Large Language Models
• Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic
• A Systematic Study of Model Extraction Attacks on Graph Foundation Models
• Correcting Mean Bias in Text Embeddings: A Refined Renormalization with Training-Free Improvements on MMTEB
• Draft and Refine with Visual Experts
• Generative Caching for Structurally Similar Prompts and Responses
• Cost Transparency of Enterprise AI Adoption
• Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
• Reasoning About Intent for Ambiguous Requests
• Local Hybrid Retrieval-Augmented Document QA
• OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models
• ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs
• A general framework for adaptive nonparametric dimensionality reduction
• PustakAI: Curriculum-Aligned and Interactive Textbooks Using Large Language Models
• TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domain
• Generative AI as a Linguistic Equalizer in Global Science
• Contextual Graph Embeddings: Accounting for Data Characteristics in Heterogeneous Data Integration
• Improve Contrastive Clustering Performance by Multiple Fusing-Augmenting ViT Blocks
• Hierarchical Memorization in Large Language Models: Evidence from Citation Generation
• A centroid based framework for text classification in itsm environments
• Synergistic Feature Fusion for Latent Lyrical Classification: A Gated Deep Learning Architecture
• TurkEmbed: Turkish Embedding Model on NLI & STS Tasks
• DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
• Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
• Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
• Self-Correction Distillation for Structured Data Question Answering
• VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation
• Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker
• Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge Reasoning
• Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views
• Stress Testing Factual Consistency Metrics for Long-Document Summarization
• Harmonic Token Projection (HTP): A Vocabulary-Free, Training-Free, Deterministic, and Reversible Embedding Methodology
• TurkEmbed4Retrieval: Turkish Embedding Model for Retrieval Task
• Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
• Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
• Oh That Looks Familiar: A Novel Similarity Measure for Spreadsheet Template Discovery
• Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights
• Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse
• Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis
• BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering
• FLEX: Continuous Agent Evolution via Forward Learning from Experience
• NILC: Discovering New Intents with LLM-assisted Clustering
• Building Specialized Software-Assistant ChatBot with Graph-Based Retrieval-Augmented Generation
• Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
• Leak@k: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding
• Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale
• REFLEX: Reference-Free Evaluation of Log Summarization via Large Language Model Judgment
• ReGen: Generative Robot Simulation via Inverse Design
• Probabilistic Textual Time Series Depression Detection
• Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning
• Advancing Equitable AI: Evaluating Cultural Expressiveness in LLMs for Latin American Contexts
• E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
• ForeRobo: Unlocking Infinite Simulation Data for 3D Goal-driven Robotic Manipulation
• Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology
• Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
• Multi-Object Tracking Retrieval with LLaVA-Video: A Training-Free Solution to MOT25-StAG Challenge
• 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
• 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 Zero-Shot 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\n 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
• Latent Topic Synthesis: Leveraging LLMs for Electoral Ad Analysis
• 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
• Steering Embedding Models with Geometric Rotation: Mapping Semantic Relationships Across Languages and Models
• 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
• Comparison of Scoring Rationales Between Large Language Models and Human Raters
• From Deferral to Learning: Online In-Context Knowledge Distillation for LLM Cascades
• JE-IRT: A Geometric Lens on LLM Abilities through Joint Embedding Item Response Theory
• "I Don't Think RAI Applies to My Model'' -- Engaging Non-champions with Sticky Stories for Responsible AI Work
• REMA: A Unified Reasoning Manifold Framework for Interpreting Large Language Model
• Representing LLMs in Prompt Semantic Task Space
• Jailbreaking on Text-to-Video Models via Scene Splitting Strategy
• Question-Driven Analysis and Synthesis: Building Interpretable Thematic Trees with LLMs for Text Clustering and Controllable Generation
• Library Hallucinations in LLMs: Risk Analysis Grounded in Developer Queries
• Context Parametrization with Compositional Adapters
• Think Right, Not More: Test-Time Scaling for Numerical Claim Verification
• Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning
• MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation
• Semantic Agreement Enables Efficient Open-Ended LLM Cascades
• RobustFlow: Towards Robust Agentic Workflow Generation
• KurdSTS: The Kurdish Semantic Textual Similarity
• Does AI Coaching Prepare us for Workplace Negotiations?
• 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
• Filtering with Confidence: When Data Augmentation Meets Conformal Prediction
• 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
• Semantic Clustering of Civic Proposals: A Case Study on Brazil's National Participation Platform
• Query-Centric Graph Retrieval Augmented Generation
• SGMem: Sentence Graph Memory for Long-Term Conversational Agents
• AutoIntent: AutoML for Text Classification
• Acoustic-based Gender Differentiation in Speech-aware Language Models
• PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel Constraints
• Extracting Conceptual Knowledge to Locate Software Issues
• Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
• PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
• Distilling Many-Shot In-Context Learning into a Cheat Sheet
• Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
• CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
• 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
• Play by the Type Rules: Inferring Constraints for LLM Functions in Declarative Programs
• 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
• 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
• A Modular and Multimodal Generative AI Framework for Urban Building Energy Data: Generating Synthetic Homes
• 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
• Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
• The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
• VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results
• 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
• OpinioRAG: Towards Generating User-Centric Opinion Highlights from Large-scale Online Reviews
• Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization
• Standard vs. Modular Sampling: Best Practices for Reliable LLM Unlearning
• Data Auctions for Retrieval Augmented Generation
• The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
• T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval
• QZhou-Embedding Technical Report
• L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models
• Efficient Code Embeddings from Code Generation Models
• Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
• GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning
• InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
• 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
• From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media
• SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM
• Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
• 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
• Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking
• Continual Neural Topic Model
• LegiScout: A Visual Tool for Understanding Complex Legislation
• SafetyFlow: An Agent-Flow System for Automated LLM Safety Benchmarking
• Network-Level Prompt and Trait Leakage in Local Research Agents
• SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis
• Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
• Stack Trace-Based Crash Deduplication with Transformer Adaptation
• DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking
• The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
• Membership Inference Attacks on LLM-based Recommender Systems
• Controllable Conversational Theme Detection Track at DSTC 12
• Flexible metadata harvesting for ecology using large language models
• Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
• Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics
• Granite Embedding R2 Models
• Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
• DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
• Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
• InReAcTable: LLM-Powered Interactive Visual Data Story Construction from Tabular Data
• Named Entity Recognition of Historical Text via Large Language Model
• LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution
• Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
• Subjective Behaviors and Preferences in LLM: Language of Browsing
• Continuous sentiment scores for literary and multilingual contexts
• Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning
• Supporting Clustering with Contrastive Learning
• Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
• InPars+: Supercharging Synthetic Data Generation for Information Retrieval Systems
• The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
• Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
• AdaDocVQA: Adaptive Framework for Long Document Visual Question Answering in Low-Resource Settings
• Statistical Comparative Analysis of Semantic Similarities and Model Transferability Across Datasets for Short Answer Grading
• Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models
• A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains
• XAMT: Cross-Framework API Matching for Testing Deep Learning Libraries
• LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
• Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework
• SEA-BED: Southeast Asia Embedding Benchmark
• Cost-Aware Contrastive Routing for LLMs
• Scalable RF Simulation in Generative 4D Worlds
• Multi-Modal Drift Forecasting of Leeway Objects via Navier-Stokes-Guided CNN and Sequence-to-Sequence Attention-Based Models
• LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
• In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning
• Controlling Multimodal LLMs via Reward-guided Decoding
• CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity
• Retrieval-augmented reasoning with lean language models
• ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-Refusal
• RAG for Geoscience: What We Expect, Gaps and Opportunities
• From Feedback to Failure: Automated Android Performance Issue Reproduction
• Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends
• GenOM: Ontology Matching with Description Generation and Large Language Model
• IADGPT: Unified LVLM for Few-Shot Industrial Anomaly Detection, Localization, and Reasoning via In-Context Learning
• ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation
• ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks
• Semantic IDs for Joint Generative Search and Recommendation
• Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
• Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
• Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models
• DS4RS: Community-Driven and Explainable Dataset Search Engine for Recommender System Research
• Estimating Machine Translation Difficulty
• Amazon Nova AI Challenge -- Trusted AI: Advancing secure, AI-assisted software development
• January Food Benchmark (JFB): A Public Benchmark Dataset and Evaluation Suite for Multimodal Food Analysis
• Social-Sensor Identity Cloning Detection Using Weakly Supervised Deep Forest and Cryptographic Authentication
• Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
• UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
• IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding
• Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
• Link Prediction for Event Logs in the Process Industry
• BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Elicitation
• DiffPose-Animal: A Language-Conditioned Diffusion Framework for Animal Pose Estimation
• Exploring Palette based Color Guidance in Diffusion Models
• GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting
• E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency
• Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
• Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
• BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks
• AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
• DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
• UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
• Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
• Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation
• In-situ Value-aligned Human-Robot Interactions with Physical Constraints
• GLiClass: Generalist Lightweight Model for Sequence Classification Tasks
• Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
• Using LLMs to Capture Users' Temporal Context for Recommendation
• Improving Document Retrieval Coherence for Semantically Equivalent Queries
• What am I missing here?: Evaluating Large Language Models for Masked Sentence Prediction
• VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding
• Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs
• Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities
• An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
• A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
• 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
• 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
• Multimodal Fact Checking with Unified Visual, Textual, and Contextual Representations
• 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
• LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations
• 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
• 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
• 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
• 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

Related

• Evaluation of BERT and ALBERT Sentence Embedding Performance on Downstream NLP Tasks
• BURT: BERT-inspired Universal Representation from Twin Structure
• An Unsupervised Sentence Embedding Method by Mutual Information Maximization
• SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
• Dual-View Distilled BERT for Sentence Embedding