{"total":86,"rows":[{"id":"2311.05232","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","created":"2023-11-09","cited_by_count":1601,"area":null},{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"area":null},{"id":"2402.18013","title":"A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems","created":"2024-02-28","cited_by_count":170,"area":null},{"id":"2311.05112","title":"A Survey of Large Language Models in Medicine: Progress, Application, and Challenge","created":"2023-11-09","cited_by_count":124,"area":null},{"id":"2404.14851","title":"From Matching to Generation: A Survey on Generative Information Retrieval","created":"2024-04-23","cited_by_count":89,"area":null},{"id":"2310.05002","title":"Self-Knowledge Guided Retrieval Augmentation for Large Language Models","created":"2023-10-08","cited_by_count":69,"area":null},{"id":"2401.05778","title":"Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems","created":"2024-01-11","cited_by_count":66,"area":null},{"id":"2502.14913","title":"OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment","created":"2025-02-19","cited_by_count":53,"area":null},{"id":"2311.07838","title":"LLatrieval: LLM-Verified Retrieval for Verifiable Generation","created":"2023-11-14","cited_by_count":52,"area":null},{"id":"2412.12472","title":"Knowledge Boundary of Large Language Models: A Survey","created":"2024-12-17","cited_by_count":40,"area":null},{"id":"2402.12052","title":"Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs","created":"2024-02-19","cited_by_count":34,"area":null},{"id":"2310.07343","title":"How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances","created":"2023-10-11","cited_by_count":33,"area":null},{"id":"2311.05876","title":"Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications","created":"2023-11-10","cited_by_count":28,"area":null},{"id":"2408.14317","title":"Claim Verification in the Age of Large Language Models: A Survey","created":"2024-08-26","cited_by_count":24,"area":null},{"id":"2412.11919","title":"RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation","created":"2024-12-16","cited_by_count":20,"area":null},{"id":"2504.18243","title":"DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering","created":"2025-04-25","cited_by_count":20,"area":null},{"id":"2506.17188","title":"Towards AI Search Paradigm","created":"2025-06-20","cited_by_count":19,"area":null},{"id":"2502.10996","title":"RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation","created":"2025-02-16","cited_by_count":16,"area":null},{"id":"2410.04241","title":"Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations","created":"2024-10-05","cited_by_count":15,"area":null},{"id":"2501.12689","title":"IC-Cache: Efficient Large Language Model Serving via In-context Caching","created":"2025-01-22","cited_by_count":13,"area":null},{"id":"2411.00489","title":"Human-inspired Perspectives: A Survey on AI Long-term Memory","created":"2024-11-01","cited_by_count":12,"area":null},{"id":"2512.16856","title":"Distributional AGI Safety","created":"2025-12-18","cited_by_count":12,"area":null},{"id":"2402.03719","title":"Empowering Language Models with Active Inquiry for Deeper Understanding","created":"2024-02-06","cited_by_count":11,"area":null},{"id":"2411.01192","title":"Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks","created":"2024-11-02","cited_by_count":10,"area":null},{"id":"2412.18069","title":"Improving Factuality with Explicit Working Memory","created":"2024-12-24","cited_by_count":10,"area":null},{"id":"2505.07903","title":"SEM: Reinforcement Learning for Search-Efficient Large Language Models","created":"2025-05-12","cited_by_count":9,"area":null},{"id":"2410.12480","title":"KcMF: A Knowledge-compliant Framework for Schema and Entity Matching with Fine-tuning-free LLMs","created":"2024-10-16","cited_by_count":8,"area":null},{"id":"2509.10697","title":"A Survey on Retrieval And Structuring Augmented Generation with Large Language Models","created":"2025-09-12","cited_by_count":8,"area":null},{"id":"2510.23730","title":"Evaluating Long-Term Memory for Long-Context Question Answering","created":"2025-10-27","cited_by_count":8,"area":null},{"id":"2512.08868","title":"EcomBench: Towards Holistic Evaluation of Foundation Agents in E-commerce","created":"2025-12-09","cited_by_count":8,"area":null},{"id":"2402.10666","title":"MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL","created":"2024-02-16","cited_by_count":7,"area":null},{"id":"2408.08444","title":"W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering","created":"2024-08-15","cited_by_count":6,"area":null},{"id":"2411.07688","title":"ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG","created":"2024-11-12","cited_by_count":6,"area":null},{"id":"2506.04565","title":"From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems","created":"2025-06-05","cited_by_count":6,"area":null},{"id":"2606.00593","title":"SPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering","created":"2026-05-30","cited_by_count":6,"area":null},{"id":"2406.16013","title":"Database-Augmented Query Representation for Information Retrieval","created":"2024-06-23","cited_by_count":5,"area":null},{"id":"2512.20299","title":"KnowVal: A Knowledge-Augmented and Value-Guided Autonomous Driving System","created":"2025-12-23","cited_by_count":5,"area":null},{"id":"2602.16201","title":"Long-Tail Knowledge in Large Language Models: Taxonomy, Mechanisms, Interventions and Implications","created":"2026-02-18","cited_by_count":5,"area":null},{"id":"2603.15599","title":"SmartSearch: How Ranking Beats Structure for Conversational Memory Retrieval","created":"2026-03-16","cited_by_count":5,"area":null},{"id":"2311.07491","title":"A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2406.13929","title":"Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2407.12529","title":"Crafting the Path: Robust Query Rewriting for Information Retrieval","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2505.21250","title":"ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2601.11258","title":"Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation","created":"2026-01-16","cited_by_count":4,"area":null},{"id":"2406.11290","title":"An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2407.05463","title":"Training Task Experts through Retrieval Based Distillation","created":"2024-07-07","cited_by_count":3,"area":null},{"id":"2505.19754","title":"NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering","created":"2025-05-26","cited_by_count":3,"area":null},{"id":"2402.18264","title":"WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario","created":"2024-02-28","cited_by_count":2,"area":null},{"id":"2404.07135","title":"Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability","created":"2024-04-10","cited_by_count":2,"area":null},{"id":"2404.08727","title":"Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases","created":"2024-04-12","cited_by_count":2,"area":null},{"id":"2407.16073","title":"KaPQA: Knowledge-Augmented Product Question-Answering","created":"2024-07-22","cited_by_count":2,"area":null},{"id":"2408.02907","title":"Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering","created":"2024-08-06","cited_by_count":2,"area":null},{"id":"2408.11609","title":"Xinyu: An Efficient LLM-based System for Commentary Generation","created":"2024-08-21","cited_by_count":2,"area":null},{"id":"2410.06519","title":"SEGMENT+: Long Text Processing with Short-Context Language Models","created":"2024-10-09","cited_by_count":2,"area":null},{"id":"2412.11939","title":"SEAGraph: Unveiling the Whole Story of Paper Review Comments","created":"2024-12-16","cited_by_count":2,"area":null},{"id":"2502.20785","title":"GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs","created":"2025-02-28","cited_by_count":2,"area":null},{"id":"2503.07519","title":"GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2601.05589","title":"ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2602.05366","title":"Multi-Field Tool Retrieval","created":"2026-02-05","cited_by_count":2,"area":null},{"id":"2604.27695","title":"EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory","created":"2026-04-30","cited_by_count":2,"area":null},{"id":"2606.02488","title":"RASER: Recoverability-Aware Selective Escalation Router for Multi-Hop Question Answering","created":"2026-06-01","cited_by_count":2,"area":null},{"id":"2606.04127","title":"When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2402.14301","title":"GenSERP: Large Language Models for Whole Page Presentation","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2406.03092","title":"FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2409.01344","title":"Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2505.12265","title":"Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2509.08950","title":"Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities","created":"2025-09-10","cited_by_count":1,"area":null},{"id":"2602.06976","title":"Bridging the Knowledge Void: Inference-time Acquisition of Unfamiliar Programming Languages for Coding Tasks","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2609.25405","title":"Efficient Iterative Retrieval with Heterogeneous Batching","created":"2026-09-21","cited_by_count":1,"area":null},{"id":"2410.08623","title":"Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2501.10642","title":"Iterative Tree Analysis for Medical Critics","created":"2025-01-18","cited_by_count":0,"area":null},{"id":"2503.16530","title":"Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine","created":"2025-03-18","cited_by_count":0,"area":null},{"id":"2505.21849","title":"Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2506.17692","title":"Resource-Friendly Dynamic Enhancement Chain for Multi-Hop Question Answering","created":"2025-06-21","cited_by_count":0,"area":null},{"id":"2510.05131","title":"Rationale-Augmented Retrieval with Constrained LLM Re-Ranking for Task Discovery","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2604.08920","title":"Beyond Relevance: Utility-Centric Retrieval in the LLM Era","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.18766","title":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2607.20459","title":"THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2607.25135","title":"ScalableRAG: High-Quality RAG at Zero Ingestion Cost","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.06614","title":"Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.13006","title":"EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrieval","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.00818","title":"AnalysisBank: An Expert Analysis Pattern Library for Financial Report Generation","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.04579","title":"Does the Selected Object Reach the Reader? Auditing Identity Handoffs in Grounded Language-Model Pipelines","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.40340","title":"EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.05382","title":"Harness-Search: Guiding Long-Horizon Search through Multi-Agent Coordination","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.18410","title":"Graph-free Retrieval with Graph-Modified Embeddings","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}