{"total":217,"rows":[{"id":"2308.07107","title":"Large Language Models for Information Retrieval: A Survey","created":"2023-08-14","cited_by_count":331,"area":null},{"id":"2306.17563","title":"Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting","created":"2023-06-30","cited_by_count":307,"area":null},{"id":"2303.07678","title":"Query2doc: Query Expansion with Large Language Models","created":"2023-03-14","cited_by_count":149,"area":null},{"id":"2305.02156","title":"Zero-Shot Listwise Document Reranking with a Large Language Model","created":"2023-05-03","cited_by_count":82,"area":null},{"id":"2309.15088","title":"RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models","created":"2023-09-26","cited_by_count":70,"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":"2408.01875","title":"Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval","created":"2024-08-03","cited_by_count":52,"area":null},{"id":"2310.13243","title":"Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking","created":"2023-10-20","cited_by_count":44,"area":null},{"id":"2308.12261","title":"Prompt2Model: Generating Deployable Models from Natural Language Instructions","created":"2023-08-23","cited_by_count":41,"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":"2406.17526","title":"LumberChunker: Long-Form Narrative Document Segmentation","created":"2024-06-25","cited_by_count":36,"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":"2503.24289","title":"Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning","created":"2025-03-31","cited_by_count":33,"area":null},{"id":"2306.02250","title":"Large Language Model Augmented Narrative Driven Recommendations","created":"2023-06-04","cited_by_count":31,"area":null},{"id":"2309.08872","title":"PDFTriage: Question Answering over Long, Structured Documents","created":"2023-09-16","cited_by_count":29,"area":null},{"id":"2403.18684","title":"Scaling Laws For Dense Retrieval","created":"2024-03-27","cited_by_count":29,"area":null},{"id":"2406.05013","title":"CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search","created":"2024-06-07","cited_by_count":29,"area":null},{"id":"2406.14449","title":"APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking","created":"2024-06-20","cited_by_count":28,"area":null},{"id":"2411.13154","title":"DMQR-RAG: Diverse Multi-Query Rewriting for RAG","created":"2024-11-20","cited_by_count":27,"area":null},{"id":"2504.05559","title":"SciSciGPT: Advancing Human-AI Collaboration in the Science of Science","created":"2025-04-07","cited_by_count":27,"area":null},{"id":"2304.14233","title":"Large Language Models are Strong Zero-Shot Retriever","created":"2023-04-27","cited_by_count":26,"area":null},{"id":"2309.08541","title":"When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets","created":"2023-09-15","cited_by_count":26,"area":null},{"id":"2410.13765","title":"Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval","created":"2024-10-17","cited_by_count":26,"area":null},{"id":"2305.04329","title":"FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering","created":"2023-05-07","cited_by_count":24,"area":null},{"id":"2311.05800","title":"Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval","created":"2023-11-10","cited_by_count":24,"area":null},{"id":"2404.03746","title":"GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation","created":"2024-04-04","cited_by_count":23,"area":null},{"id":"2401.08206","title":"Generative Multi-Modal Knowledge Retrieval with Large Language Models","created":"2024-01-16","cited_by_count":22,"area":null},{"id":"2402.01722","title":"Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately","created":"2024-01-27","cited_by_count":21,"area":null},{"id":"2401.06532","title":"INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning","created":"2024-01-12","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":"2311.01555","title":"Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers","created":"2023-11-02","cited_by_count":19,"area":null},{"id":"2310.14587","title":"Large Search Model: Redefining Search Stack in the Era of LLMs","created":"2023-10-23","cited_by_count":18,"area":null},{"id":"2310.20158","title":"GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval","created":"2023-10-31","cited_by_count":18,"area":null},{"id":"2401.04514","title":"Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search","created":"2024-01-09","cited_by_count":17,"area":null},{"id":"2402.07092","title":"Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation","created":"2024-02-11","cited_by_count":17,"area":null},{"id":"2402.18031","title":"Corpus-Steered Query Expansion with Large Language Models","created":"2024-02-28","cited_by_count":17,"area":null},{"id":"2306.05523","title":"FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering","created":"2023-05-22","cited_by_count":16,"area":null},{"id":"2402.14151","title":"BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives","created":"2024-02-21","cited_by_count":15,"area":null},{"id":"2406.19760","title":"Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation","created":"2024-06-28","cited_by_count":15,"area":null},{"id":"2504.13128","title":"FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents","created":"2025-04-17","cited_by_count":15,"area":null},{"id":"2301.02998","title":"InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers","created":"2023-01-08","cited_by_count":14,"area":null},{"id":"2308.16753","title":"Context Aware Query Rewriting for Text Rankers using LLM","created":"2023-08-31","cited_by_count":14,"area":null},{"id":"2307.08303","title":"Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models","created":"2023-07-17","cited_by_count":12,"area":null},{"id":"2311.09175","title":"Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?","created":"2023-11-15","cited_by_count":12,"area":null},{"id":"2410.12377","title":"HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims","created":"2024-10-16","cited_by_count":12,"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":"2411.11295","title":"Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation","created":"2024-11-18","cited_by_count":12,"area":null},{"id":"2504.08762","title":"InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System","created":"2025-03-31","cited_by_count":12,"area":null},{"id":"2305.07402","title":"Synergistic Interplay between Search and Large Language Models for Information Retrieval","created":"2023-05-12","cited_by_count":11,"area":null},{"id":"2309.02233","title":"Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering","created":"2023-09-05","cited_by_count":11,"area":null},{"id":"2410.01598","title":"Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation","created":"2024-10-02","cited_by_count":11,"area":null},{"id":"2405.03709","title":"ScenicNL: Generating Probabilistic Scenario Programs from Natural Language","created":"2024-05-03","cited_by_count":10,"area":null},{"id":"2408.00447","title":"DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration","created":"2024-08-01","cited_by_count":10,"area":null},{"id":"2502.17057","title":"ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance","created":"2025-02-24","cited_by_count":10,"area":null},{"id":"2505.21815","title":"Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking","created":"2025-05-27","cited_by_count":10,"area":null},{"id":"2405.06258","title":"Automatic Generation of Model and Data Cards: A Step Towards Responsible AI","created":"2024-05-10","cited_by_count":9,"area":null},{"id":"2307.02740","title":"Dense Retrieval Adaptation using Target Domain Description","created":"2023-07-06","cited_by_count":8,"area":null},{"id":"2403.11335","title":"ConvSDG: Session Data Generation for Conversational Search","created":"2024-03-17","cited_by_count":8,"area":null},{"id":"2410.20050","title":"AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels","created":"2024-10-26","cited_by_count":8,"area":null},{"id":"2504.01509","title":"PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation","created":"2025-04-02","cited_by_count":8,"area":null},{"id":"2510.10815","title":"DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems","created":"2025-10-12","cited_by_count":8,"area":null},{"id":"2305.12517","title":"Description-Based Text Similarity","created":"2023-05-21","cited_by_count":7,"area":null},{"id":"2306.16004","title":"Query Understanding in the Age of Large Language Models","created":"2023-06-28","cited_by_count":7,"area":null},{"id":"2308.08285","title":"Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval","created":"2023-08-16","cited_by_count":7,"area":null},{"id":"2505.14212","title":"Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks","created":"2025-05-20","cited_by_count":7,"area":null},{"id":"2505.18541","title":"RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval","created":"2025-05-24","cited_by_count":7,"area":null},{"id":"2509.26378","title":"MR$^2$-Bench: Going Beyond Matching to Reasoning in Multimodal Retrieval","created":"2025-09-30","cited_by_count":7,"area":null},{"id":"2302.03754","title":"Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories","created":"2023-02-07","cited_by_count":6,"area":null},{"id":"2306.10649","title":"CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification","created":"2023-06-18","cited_by_count":6,"area":null},{"id":"2309.05238","title":"Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation","created":"2023-09-11","cited_by_count":6,"area":null},{"id":"2410.13959","title":"FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline","created":"2024-10-17","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":"2506.04760","title":"Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion","created":"2025-06-05","cited_by_count":6,"area":null},{"id":"2506.10859","title":"Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information","created":"2025-06-12","cited_by_count":6,"area":null},{"id":"2603.17787","title":"Governed Memory: A Production Architecture for Multi-Agent Workflows","created":"2026-03-18","cited_by_count":6,"area":null},{"id":"2311.03798","title":"Noisy Pair Corrector for Dense Retrieval","created":"2023-11-07","cited_by_count":5,"area":null},{"id":"2311.09649","title":"ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification","created":"2023-11-16","cited_by_count":5,"area":null},{"id":"2401.07544","title":"See the Unseen: Better Context-Consistent Knowledge-Editing by Noises","created":"2024-01-15","cited_by_count":5,"area":null},{"id":"2403.14443","title":"Language Models Can Reduce Asymmetry in Information Markets","created":"2024-03-21","cited_by_count":5,"area":null},{"id":"2405.17658","title":"Generative Query Reformulation Using Ensemble Prompting, Document Fusion, and Relevance Feedback","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2501.14733","title":"LLM as HPC Expert: Extending RAG Architecture for HPC Data","created":"2024-12-09","cited_by_count":5,"area":null},{"id":"2502.12361","title":"ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining","created":"2025-02-17","cited_by_count":5,"area":null},{"id":"2508.04001","title":"ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval","created":"2025-08-06","cited_by_count":5,"area":null},{"id":"2402.16877","title":"Large Language Model Augmented Exercise Retrieval for Personalized Language Learning","created":"2024-02-08","cited_by_count":4,"area":null},{"id":"2405.05508","title":"Redefining Information Retrieval of Structured Database via Large Language Models","created":"2024-05-09","cited_by_count":4,"area":null},{"id":"2407.20207","title":"QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval","created":"2024-07-29","cited_by_count":4,"area":null},{"id":"2506.16444","title":"REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2509.05100","title":"ICR: Iterative Clarification and Rewriting for Conversational Search","created":"2025-09-05","cited_by_count":4,"area":null},{"id":"2305.15098","title":"Referral Augmentation for Zero-Shot Information Retrieval","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2307.02140","title":"Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives","created":"2023-07-05","cited_by_count":3,"area":null},{"id":"2402.10866","title":"EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models","created":"2024-02-16","cited_by_count":3,"area":null},{"id":"2403.01747","title":"Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search","created":"2024-03-04","cited_by_count":3,"area":null},{"id":"2409.16570","title":"Disentangling Questions from Query Generation for Task-Adaptive Retrieval","created":"2024-09-25","cited_by_count":3,"area":null},{"id":"2410.09629","title":"Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models","created":"2024-10-12","cited_by_count":3,"area":null},{"id":"2410.21242","title":"Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback","created":"2024-10-28","cited_by_count":3,"area":null},{"id":"2505.01485","title":"CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code","created":"2025-05-02","cited_by_count":3,"area":null},{"id":"2506.21601","title":"Hierarchical Patch Compression for ColPali: Efficient Multi-Vector Document Retrieval with Dynamic Pruning and Quantization","created":"2025-06-19","cited_by_count":3,"area":null},{"id":"2602.11322","title":"Predictive Associative Memory: Retrieval Beyond Similarity Through Temporal Co-occurrence","created":"2026-02-11","cited_by_count":3,"area":null},{"id":"2608.11772","title":"Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correction","created":"2026-08-12","cited_by_count":3,"area":null}],"next_cursor":"100"}