ACL 2026 — Information Retrieval & Knowledge

Information Retrieval & Knowledge

385 papers Links not yet available — ACL proceedings pending on ACL Anthology.

EASE: Entity-Aware Sub-table Generation for Real-world Multi-table QA
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
CLEAR: Cross-Lingual Enhancement in Retrieval via Reverse-training
Aligning Language Models with Real-time Knowledge Editing
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
SAGE: A Search-AuGmented Evaluation of Large Language Models on Free‑Form QA
Grammar Search for Multi-Agent Systems
ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval
Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering
CHIMERA: A Knowledge Base of Scientific Idea Recombinations for Research Analysis and Ideation
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
AraVQA: Building a New Arabic Factoid Visual Question Answering Dataset from Wikipedia
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
Does Self-Consistency Improve the Recall of Encyclopedic Knowledge?
EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
MMSearch-R1: Incentivizing LMMs to Search
Thinking beyond the anthropomorphic paradigm benefits LLM research
Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification
EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
Situated Embedding Models for Context-Aware Dense Retrieval
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation
Mitigating Context Interference for Reliable and Efficient Search Agents
Long Context Modeling with Ranked Memory-Augmented Retrieval
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge
Mask-to-Correct⁺: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs
UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
Open Schrödinger’s Closed Box: Identifying Retrieval Augmented Generation in API-Accessible Large Language Model Services
D²Plan: Dual-Agent Dynamic Global Planning for Complex Retrieval-Augmented Reasoning
Enhancing Lexical Relation Mining with Structured Sememe Knowledge
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models
DPDV: Dual-Pathway and Dual-View Representation Learning for Bridging Information Asymmetry in Text-Video Retrieval
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation
Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation
Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation
FinSight: Towards Real-World Financial Deep Research
CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents
StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation
Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search
DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning
Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation
Text2Tabular – Reconstructing Tabular Research Data from Scientific Publications
In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis
LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues
AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
A Survey of Large Language Model-Based Search Agents
InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling
ReportLogic: Evaluating Logical Quality in Deep Research Reports
MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution
Visual Attention Reasoning via Hierarchical Search and Self-Verification
KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph Planning
TRACE: Traversal Retrieval-Augmented Chain of Evidence for Document Understanding
FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
DREAM: Deep Research Evaluation with Agentic Metrics
GKnow: Measuring the Entanglement of Gender Bias and Factual Gender
Reinforcing Agentic Search Via Reward Density Optimization
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration
OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory
Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness
Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering
All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification
Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification
Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
Exploring Layer Activation Dynamic of CoT via Knowledge Probe
LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation
Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
Making Large Language Models Efficient Dense Retrievers
Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search
RoboFailRing: Retrieval-Augmented and Language Grounding Failure Detection for VLM-enabled Robotic Manipulation
DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search
Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision
Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation
Can Factual Opinions Be Edited (Manipulated) in Large Language Models?
How Tokenization Limits Phonological Knowledge Representation in Language Models and How to Improve Them
When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
MATCH: Modulating Attention via In‑Context Retrieval for Long‑Context Transformers
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs
CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
Retrieval Heads are Dynamic
Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph
RExBench: Can coding agents autonomously implement AI research extensions?
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios
LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory
PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering
GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion
DiZiNER: Disagreement-guided Instruction Refinement via Simulating Pilot Annotation for Zero-shot Named Entity Recognition
PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning
HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question Answering
Improving Autoformalization Using Direct Dependency Retrieval
Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
REG: Retrieval via Emotion Similarity for Guiding Empathetic Dialogue Generation
Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations
FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval
Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering
Identity-Robust Language Model Generation via Content Integrity Preservation
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning
HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations
Benchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders
CAKE: Causal-Guided Adaptive Knowledge Editing for LLMs
RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora
Zero-Shot Multimodal Retrieval with Multi-Scale Contextual Representations
THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA
R^3AG: Retriever Routing for Retrieval-Augmented Generation
ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
Unveiling the Unknown: Open-Set Entity Typing via Two-Stage Generation
Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
Language on Demand, Knowledge at Core: Composing LLMs with Encoder-Decoder Translation Models for Extensible Multilinguality
Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models
Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification
FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow
TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing
Query-Aware Knowledge Retrieval via Hyperbolic Structuring
ATIR: Towards Audio-Text Interleaved Contextual Retrieval
MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning
Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts
Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval
MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits
How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation
AT²PO: Agentic Turn-based Policy Optimization via Tree Search
KoCo: Conditioning Language Model Pre-training on Knowledge Coordinates
Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval
TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval
WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
WebSynthesis: World Model-Guided Monte Carlo Tree Search for Efficient WebAgent Trajectory Synthesis
Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents
AIRCoder: Adaptive Integration of Multi-dimensional Retrieval for Repository-level Code Completion
Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision
Cognitive Scaffold: From Fluid Context to Crystallized Memory for Long-Horizon DeepResearch Agents
Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion
Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination
TeCES: Collaborative Geometric Knowledge Representation Framework under Evolving Fact Snapshots
MicroC-KT: Modeling Community Effect via Learning Micro-Environment for Evidence-Grounded Explainable Knowledge Tracing
Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
Reliable Evaluation Protocol for Low-Precision Retrieval
VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning
CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering
Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction
SGVEF-LOOP: Coverage-Guided Progressive Topological Exploration and Fact-Grounded Metamorphic Evaluation for MCP Agents
Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation
Extending First-Order Logic for Factual Reasoning over Knowledge Graphs
ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering
Attention Weights as an Indicator: Analyzing and Improving Document Utilization in Retrieval-Augmented Generation
DR-Arena: an Automated Evaluation Framework for Deep Research Agents
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
ToMMeR - Efficient Entity Mention Detection from Large Language Models
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables
Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding
Video-MMMU: Evaluating Knowledge Acquisition from Multidisciplinary Professional Videos
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion
MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution
Semantic Hardness Is Not Visual Hardness: Sign-Aware Hard Negative Mining for Sign Language Retrieval
KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation
It’s High Time: A Survey of Temporal Question Answering
LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction
Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation
Zero-shot Jianzi Recognition as Structured Visual Information Extraction in Open Compositional Symbolic Systems
Whose Facts Win? LLM Source Preferences under Knowledge Conflicts
Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models
GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval
HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking
Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination
Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation
EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
The “Knowledge–Behavior Gap” in Cultural Taboo Safety of Large Language Models
MM-StanceDet: Retrieval-Augmented Multi-modal Multi-agent Stance Detection
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts
When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
Stress Testing Factual Consistency Metrics for Long-Document Summarization
LLM-Generated Text May Harm Your Retrieval! A Robust Detection Strategy for Retrieval-Augmented Generation
The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG
Generating then Refining for Reliable Knowledge Base Question Answering
StratMem-Bench: Evaluating Strategic Memory Use in Virtual Character Conversation Beyond Factual Recall
RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation
Behavior Knowledge Merge in Reinforced Agentic Models
MARS²: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
AdabNER: Arabic Digital Archive Books with Nested Entity Recognition
Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation
VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis
Defense Against Knowledge Poisoning Attack on GraphRAG
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research Coding
ART: Attention Replacement Technique to Improve Factuality in LLMs
GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality
ClaimDB: A Fact Verification Benchmark over Large Structured Data
New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs
L2Dir: Integrating L₂-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval
TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QA
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation
KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering
Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation
TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval
Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation
GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding
LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient
COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval
Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction
Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation
PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters’ Lack of Knowledge
Flow-Based Page Unique Semantic Mapping Architecture for Document Visual Question Answering
LangSAE Editing: Improving Multilingual Information Retrieval via Post-hoc Language Identity Removal
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach
Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning
MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks
Beyond Markovian Forgetfulness: Episodic Memory for Reasoning-Intensive Retrieval
Adaptive Retrieval for Reasoning
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
TH-RAG : Topic-Based Hierarchical Knowledge Graphs for Robust Multi-hop Reasoning in Graph-based RAG Systems
Execution as Verification: Fine-Grained Self-Correcting Reasoning for Complex KBQA
Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning
CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering
Frame-Semantic Knowledge Injection for Event-Level Inference in LLMs
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval
SPARKLE: A Structured and Plug-and-play Agentic Retrieval Policy for Adaptive RAG Models
SciCoQA: Quality Assurance for Scientific Paper–Code Alignment
ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering
MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning
Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization
REAL: REtrieval-reAsoning and Logic-constructed Attention Behaviors for Long-Context KV Cache Compression
HowToNarrate: A General-Domain Benchmark for Synchronized Video Narration with External Knowledge
Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs’ Hallucinations
REaR : Retrieve, Expand and Refine for Effective Multitable Retrieval
Beyond Experience Retrieval: Learning to Generate Utility-Optimized Structured Experience for Frozen LLMs
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs
MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference
Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real Photos
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks
Revisiting Evaluation of Question Answering Systems in Low-Resource Indic Languages: Bridging Human and Metric Alignment
Afri-MCQA: Multimodal Cultural Question Answering for African Languages
Structure Guided Retrieval-Augmented Generation for Factual Queries
MirrorQA: Benchmarking Multimodal LLMs on Mirror-Orientation Reasoning
M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains
Mind Reader: Latent User Demand-Guided Content Optimization for Generative Search Engine
Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
How Do Inpainting Artifacts Propagate to Language?
Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck
VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs
BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
GUIDE: Towards Scalable Advising for Research Ideas
HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference
ViLL-E: Video LLM Embeddings for Retrieval
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
Understanding the Behaviors of Environment-aware Information Retrieval
Knowledge Vector of Logical Reasoning in Large Language Models
Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs
Temporal Leakage in Search-Engine Date-Filtered Web Retrieval: A Retrospective Forecasting Case Study
HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification
Don’t Corrupt the Fact: A Trustworthy RAG Watermarking Framework based on Dual Factual Shield
How Long Reasoning Chains Influence LLMs’ Judgment of Answer Factuality
PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts
Diagnosing and Remedying Representation Deficiencies for Deterministic Reasoning in KGQA
Explaining Sources of Uncertainty in Automated Fact-Checking
Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA
SURE or Not? Investigating Semantic Understanding in Dense Retrieval Models
Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms
ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks
Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations
KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks
FIGMA: Towards FIne-Grained Music retrievAl
Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation