{"total":26,"rows":[{"id":"2502.08826","title":"Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation","created":"2025-02-12","cited_by_count":42,"area":"rag"},{"id":"2410.19572","title":"ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems","created":"2024-10-25","cited_by_count":23,"area":"rag"},{"id":"2411.14572","title":"Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective","created":"2024-11-21","cited_by_count":20,"area":"rag"},{"id":"2410.18141","title":"SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback","created":"2024-10-22","cited_by_count":19,"area":"rag"},{"id":"2502.18397","title":"KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation","created":"2025-02-25","cited_by_count":13,"area":"rag"},{"id":"2409.16146","title":"Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework","created":"2024-09-24","cited_by_count":12,"area":"rag"},{"id":"2410.12248","title":"CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity","created":"2024-10-16","cited_by_count":11,"area":"rag"},{"id":"2412.04342","title":"Retrieval-Augmented Machine Translation with Unstructured Knowledge","created":"2024-12-05","cited_by_count":9,"area":"rag"},{"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":"2504.01018","title":"Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization","created":"2025-04-01","cited_by_count":9,"area":"rag"},{"id":"2406.12534","title":"Unified Active Retrieval for Retrieval Augmented Generation","created":"2024-06-18","cited_by_count":8,"area":"rag"},{"id":"2407.21055","title":"Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications","created":"2024-07-24","cited_by_count":6,"area":"rag"},{"id":"2502.14100","title":"Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach","created":"2025-02-19","cited_by_count":6,"area":"rag"},{"id":"2506.00491","title":"Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering","created":"2025-05-31","cited_by_count":6,"area":"rag"},{"id":"2501.13954","title":"Chat3GPP: An Open-Source Retrieval-Augmented Generation Framework for 3GPP Documents","created":"2025-01-20","cited_by_count":5,"area":"rag"},{"id":"2510.20548","title":"GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning","created":"2025-10-23","cited_by_count":5,"area":"rag"},{"id":"2505.08450","title":"IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation","created":"2025-05-13","cited_by_count":4,"area":"rag"},{"id":"2511.00505","title":"Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge","created":"2025-11-01","cited_by_count":3,"area":"rag"},{"id":"2502.06148","title":"Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection","created":"2025-02-10","cited_by_count":2,"area":"rag"},{"id":"2412.17558","title":"A Survey of Query Optimization in Large Language Models","created":"2024-12-23","cited_by_count":1,"area":"rag"},{"id":"2502.08178","title":"ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation","created":"2025-02-12","cited_by_count":1,"area":"rag"},{"id":"2509.09713","title":"HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering","created":"2025-09-08","cited_by_count":1,"area":"rag"},{"id":"2504.08768","title":"Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation","created":"2025-04-01","cited_by_count":0,"area":"rag"},{"id":"2510.11122","title":"Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance","created":"2025-10-13","cited_by_count":0,"area":"rag"},{"id":"2511.04700","title":"Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation","created":"2025-11-01","cited_by_count":0,"area":"rag"},{"id":"2604.20452","title":"HaS: Accelerating RAG through Homology-Aware Speculative Retrieval","created":"2026-04-22","cited_by_count":0,"area":"rag"}],"next_cursor":null}