{"total":93,"rows":[{"id":"2403.08319","title":"Knowledge Conflicts for LLMs: A Survey","created":"2024-03-13","cited_by_count":283,"area":null},{"id":"2501.00309","title":"Retrieval-Augmented Generation with Graphs (GraphRAG)","created":"2024-12-31","cited_by_count":172,"area":"rag"},{"id":"2402.18154","title":"Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models","created":"2024-02-28","cited_by_count":91,"area":null},{"id":"2506.01062","title":"SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models","created":"2025-06-01","cited_by_count":75,"area":"lr"},{"id":"2504.13079","title":"Retrieval-Augmented Generation with Conflicting Evidence","created":"2025-04-17","cited_by_count":63,"area":"rag"},{"id":"2410.07176","title":"Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models","created":"2024-10-09","cited_by_count":58,"area":"rag"},{"id":"2407.15017","title":"Knowledge Mechanisms in Large Language Models: A Survey and Perspective","created":"2024-07-22","cited_by_count":51,"area":null},{"id":"2509.18970","title":"LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions","created":"2025-09-23","cited_by_count":50,"area":"agents"},{"id":"2406.13805","title":"WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia","created":"2024-06-19","cited_by_count":44,"area":"rag"},{"id":"2410.13509","title":"RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards","created":"2024-10-17","cited_by_count":33,"area":"rag"},{"id":"2507.18910","title":"A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions","created":"2025-07-25","cited_by_count":31,"area":"rag"},{"id":"2503.10996","title":"Taming Knowledge Conflicts in Language Models","created":"2025-03-14","cited_by_count":30,"area":null},{"id":"2501.07391","title":"Enhancing Retrieval-Augmented Generation: A Study of Best Practices","created":"2025-01-13","cited_by_count":23,"area":"rag"},{"id":"2406.11497","title":"CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG","created":"2024-06-17","cited_by_count":22,"area":"rag"},{"id":"2506.17088","title":"Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation","created":"2025-06-20","cited_by_count":21,"area":"lr"},{"id":"2408.03297","title":"KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models","created":"2024-08-06","cited_by_count":20,"area":"rag"},{"id":"2412.15540","title":"MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering","created":"2024-12-20","cited_by_count":17,"area":null},{"id":"2507.20957","title":"Your AI, Not Your View: The Bias of LLMs in Investment Analysis","created":"2025-07-28","cited_by_count":17,"area":null},{"id":"2506.06485","title":"Task Matters: Knowledge Requirements Shape LLM Responses to Context-Memory Conflict","created":"2025-06-06","cited_by_count":16,"area":null},{"id":"2410.10360","title":"Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning","created":"2024-10-14","cited_by_count":14,"area":"rag"},{"id":"2504.01205","title":"Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery","created":"2025-04-01","cited_by_count":14,"area":null},{"id":"2503.22353","title":"Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions","created":"2025-03-28","cited_by_count":13,"area":null},{"id":"2404.06283","title":"LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements","created":"2024-04-09","cited_by_count":12,"area":null},{"id":"2410.23884","title":"Failure Modes of LLMs for Causal Reasoning on Narratives","created":"2024-10-31","cited_by_count":12,"area":"lr"},{"id":"2511.10375","title":"TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs","created":"2025-11-13","cited_by_count":12,"area":"rag"},{"id":"2601.03746","title":"Whose Facts Win? LLM Source Preferences under Knowledge Conflicts","created":"2026-01-07","cited_by_count":12,"area":"rag"},{"id":"2409.10955","title":"Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style","created":"2024-09-17","cited_by_count":11,"area":"rag"},{"id":"2502.15543","title":"ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation","created":"2025-02-21","cited_by_count":11,"area":"rag"},{"id":"2410.10796","title":"Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance","created":"2024-10-14","cited_by_count":10,"area":null},{"id":"2501.01059","title":"Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models","created":"2025-01-02","cited_by_count":9,"area":null},{"id":"2502.08356","title":"Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG","created":"2025-02-12","cited_by_count":9,"area":"rag"},{"id":"2410.09870","title":"ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains","created":"2024-10-13","cited_by_count":8,"area":null},{"id":"2406.00944","title":"A Theory for Token-Level Harmonization in Retrieval-Augmented Generation","created":"2024-06-03","cited_by_count":7,"area":"rag"},{"id":"2407.05502","title":"Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models","created":"2024-07-07","cited_by_count":7,"area":null},{"id":"2503.01695","title":"Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution","created":"2025-03-03","cited_by_count":7,"area":"rag"},{"id":"2506.15732","title":"Can LLMs Reconcile Knowledge Conflicts in Counterfactual Reasoning","created":"2025-06-15","cited_by_count":7,"area":"lr"},{"id":"2410.21970","title":"Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation","created":"2024-10-29","cited_by_count":6,"area":"rag"},{"id":"2507.01281","title":"Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization","created":"2025-07-02","cited_by_count":6,"area":"lr"},{"id":"2511.17044","title":"Parametric Retrieval-Augmented Generation using Latent Routing of LoRA Adapters","created":"2025-11-21","cited_by_count":6,"area":"rag"},{"id":"2601.06842","title":"Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation","created":"2026-01-11","cited_by_count":6,"area":"rag"},{"id":"2601.09760","title":"Investigating Tool-Memory Conflicts in Tool-Augmented LLMs","created":"2026-01-14","cited_by_count":6,"area":"agents"},{"id":"2403.19889","title":"Towards a Robust Retrieval-Based Summarization System","created":"2024-03-29","cited_by_count":5,"area":"rag"},{"id":"2505.21608","title":"How does Misinformation Affect Large Language Model Behaviors and Preferences?","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2508.19720","title":"Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models","created":"2025-08-27","cited_by_count":5,"area":null},{"id":"2601.07506","title":"Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation","created":"2026-01-12","cited_by_count":5,"area":null},{"id":"2502.00322","title":"MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections","created":"2025-02-01","cited_by_count":4,"area":null},{"id":"2504.12982","title":"Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild","created":"2025-04-17","cited_by_count":4,"area":"rag"},{"id":"2504.14856","title":"Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation","created":"2025-04-21","cited_by_count":4,"area":"rag"},{"id":"2505.11995","title":"Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation","created":"2025-05-17","cited_by_count":4,"area":"rag"},{"id":"2505.17118","title":"After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation","created":"2025-05-21","cited_by_count":4,"area":"rag"},{"id":"2507.18203","title":"Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation","created":"2025-07-24","cited_by_count":4,"area":"safety"},{"id":"2508.15793","title":"Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data","created":"2025-08-13","cited_by_count":4,"area":null},{"id":"2509.23233","title":"Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models","created":"2025-09-27","cited_by_count":4,"area":"rag"},{"id":"2509.25409","title":"From Faithfulness to Correctness: Generative Reward Models that Think Critically","created":"2025-09-29","cited_by_count":4,"area":"lr"},{"id":"2510.14660","title":"An Efficient Rubric-based Generative Verifier for Search-Augmented LLMs","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2605.17301","title":"ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation","created":"2026-05-17","cited_by_count":4,"area":"rag"},{"id":"2412.12632","title":"What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context for Multi-Hop QA","created":"2024-12-17","cited_by_count":3,"area":null},{"id":"2505.00023","title":"CORG: Generating Answers from Complex, Interrelated Contexts","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2506.06020","title":"When to Trust Context: Self-Reflective Debates for Context Reliability","created":"2025-06-06","cited_by_count":3,"area":null},{"id":"2506.20128","title":"CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation","created":"2025-06-25","cited_by_count":3,"area":"rag"},{"id":"2512.02299","title":"HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2406.12416","title":"Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models","created":"2024-06-18","cited_by_count":2,"area":"alignment"},{"id":"2501.13567","title":"K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor","created":"2025-01-23","cited_by_count":2,"area":"rag"},{"id":"2502.19779","title":"Do Retrieval-Augmented Language Models Adapt to Varying User Needs?","created":"2025-02-27","cited_by_count":2,"area":"rag"},{"id":"2506.05278","title":"Micro-Act: Mitigating Knowledge Conflict in LLM-based RAG via Actionable Self-Reasoning","created":"2025-06-05","cited_by_count":2,"area":"lr"},{"id":"2510.12460","title":"Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation","created":"2025-10-14","cited_by_count":2,"area":"rag"},{"id":"2605.12185","title":"Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2411.16133","title":"Context Awareness Gate For Retrieval Augmented Generation","created":"2024-11-25","cited_by_count":1,"area":"rag"},{"id":"2502.13648","title":"UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge","created":"2025-02-19","cited_by_count":1,"area":null},{"id":"2505.21958","title":"Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2507.02949","title":"RADIANT: Retrieval AugmenteD entIty-context AligNmenT -- Introducing RAG-ability and Entity-Context Divergence","created":"2025-06-28","cited_by_count":1,"area":"rag"},{"id":"2510.13315","title":"Self-Aug: Query and Entropy Adaptive Decoding for Large Vision-Language Models","created":"2025-10-15","cited_by_count":1,"area":"mllm"},{"id":"2601.07041","title":"When Abundance Conceals Weakness: Knowledge Conflict in Multilingual Models","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2602.14065","title":"REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment","created":"2026-02-15","cited_by_count":1,"area":null},{"id":"2606.30518","title":"Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts","created":"2026-06-29","cited_by_count":1,"area":"rag"},{"id":"2608.07933","title":"EvoTrustRAG: Evolution-Aware Conflict Attribution and Evidence Handling for Reliable Retrieval-Augmented Generation","created":"2026-08-08","cited_by_count":1,"area":"rag"},{"id":"2609.03588","title":"KC-Bench: A Dynamic Interactive Benchmark for Evaluating Knowledge Conflicts in LLM Agents","created":"2026-09-03","cited_by_count":1,"area":"agents"},{"id":"2510.19116","title":"That's Deprecated! Understanding, Detecting, and Steering Knowledge Conflicts in Language Models for Code Generation","created":"2025-10-21","cited_by_count":0,"area":null},{"id":"2603.12271","title":"Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models","created":"2026-02-18","cited_by_count":0,"area":null},{"id":"2604.14172","title":"Tug-of-War within A Decade: Conflict Resolution in Vulnerability Analysis via Teacher-Guided Retrieval-Augmented Generations","created":"2026-03-25","cited_by_count":0,"area":"rag"},{"id":"2604.22193","title":"How Large Language Models Balance Internal Knowledge with User and Document Assertions","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2605.06919","title":"Can LLMs Take Retrieved Information with a Grain of Salt?","created":"2026-05-07","cited_by_count":0,"area":"rag"},{"id":"2606.07834","title":"Cherry-pick Override: LLM Judges Under-use the Non-Directional Verdicts Their Contract Authorizes","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2607.00570","title":"Dual-Confidence Contrastive Decoding for Retrieval-Augmented Generation","created":"2026-07-01","cited_by_count":0,"area":"rag"},{"id":"2607.18673","title":"MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts","created":"2026-07-21","cited_by_count":0,"area":"mllm"},{"id":"2608.04756","title":"PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded Updates","created":"2026-08-05","cited_by_count":0,"area":"rag"},{"id":"2608.24460","title":"Shortcut Before Circuit: Document Statistics Time In-Context Conflict Resolution","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.08698","title":"Record Grouping Controls Evidence Weight in Language Models","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.25469","title":"RAG-NAROK: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-specific Refutation","created":"2026-09-21","cited_by_count":0,"area":"rag"},{"id":"2609.39139","title":"BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2609.39437","title":"Network-based Spatial Context Retrieval for Open-weight LLMs: A Faithfulness Benchmark for Grounded Geographic Reasoning","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2609.39473","title":"Beyond the Shadows of Plato's Cave: Evaluating False Memory in Autonomous Agents via Counterfactual Reasoning","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00606","title":"Where's Waldo? Query-language Preference under Cross-lingual Knowledge Disparities","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}