{"total":22,"rows":[{"id":"2409.14924","title":"Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely","created":"2024-09-23","cited_by_count":66,"area":"rag"},{"id":"2406.19417","title":"\"Glue pizza and eat rocks\" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models","created":"2024-06-26","cited_by_count":60,"area":"rag"},{"id":"2501.15228","title":"Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning","created":"2025-01-25","cited_by_count":39,"area":"rag"},{"id":"2411.02959","title":"HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems","created":"2024-11-05","cited_by_count":37,"area":"rag"},{"id":"2504.14493","title":"FinSage: A Multi-aspect RAG System for Financial Filings Question Answering","created":"2025-04-20","cited_by_count":19,"area":"rag"},{"id":"2505.10413","title":"Hierarchical Document Refinement for Long-context Retrieval-augmented Generation","created":"2025-05-15","cited_by_count":16,"area":"rag"},{"id":"2507.02652","title":"HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Search","created":"2025-07-03","cited_by_count":8,"area":"rag"},{"id":"2510.08383","title":"QAgent: A modular Search Agent with Interactive Query Understanding","created":"2025-10-09","cited_by_count":8,"area":"rag"},{"id":"2601.03979","title":"SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems","created":"2026-01-07","cited_by_count":7,"area":"rag"},{"id":"2504.07643","title":"CollEX -- A Multimodal Agentic RAG System Enabling Interactive Exploration of Scientific Collections","created":"2025-04-10","cited_by_count":4,"area":"rag"},{"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":"2506.21384","title":"Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation","created":"2025-06-26","cited_by_count":4,"area":"rag"},{"id":"2508.06056","title":"RAGTrace: Understanding and Refining Retrieval-Generation Dynamics in Retrieval-Augmented Generation","created":"2025-08-08","cited_by_count":4,"area":"rag"},{"id":"2410.17694","title":"An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms","created":"2024-10-23","cited_by_count":3,"area":"rag"},{"id":"2411.07021","title":"Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation","created":"2024-11-11","cited_by_count":3,"area":"rag"},{"id":"2601.05027","title":"OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation","created":"2026-01-08","cited_by_count":3,"area":"rag"},{"id":"2606.27786","title":"SHIFT: Gate-Modulated Activation Steering for Knowledge Conflict Mitigation in Retrieval-Augmented Generation","created":"2026-06-26","cited_by_count":3,"area":"rag"},{"id":"2601.02917","title":"RAL2M: Retrieval Augmented Learning-To-Match Against Hallucination in Compliance-Guaranteed Service Systems","created":"2026-01-06","cited_by_count":2,"area":"rag"},{"id":"2412.16615","title":"Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval","created":"2024-12-21","cited_by_count":1,"area":"rag"},{"id":"2508.20417","title":"KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval","created":"2025-08-28","cited_by_count":1,"area":"rag"},{"id":"2608.01630","title":"RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection","created":"2026-08-03","cited_by_count":1,"area":"rag"},{"id":"2608.23252","title":"The Laws of Context Allocation: Causal Measurement and Closed-Loop Orchestration in Generative Search","created":"2026-08-24","cited_by_count":0,"area":"rag"}],"next_cursor":null}