{"total":26,"rows":[{"id":"2305.06983","title":"Active Retrieval Augmented Generation","created":"2023-05-11","cited_by_count":516,"area":"rag"},{"id":"2403.14403","title":"Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity","created":"2024-03-21","cited_by_count":451,"area":"rag"},{"id":"2212.14024","title":"Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP","created":"2022-12-28","cited_by_count":318,"area":"rag"},{"id":"2402.11626","title":"Metacognitive Retrieval-Augmented Large Language Models","created":"2024-02-18","cited_by_count":26,"area":"rag"},{"id":"2406.14282","title":"Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs","created":"2024-06-20","cited_by_count":24,"area":"rag"},{"id":"2406.12566","title":"RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation","created":"2024-06-18","cited_by_count":16,"area":"rag"},{"id":"2406.07348","title":"DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering","created":"2024-06-11","cited_by_count":14,"area":"rag"},{"id":"2502.11228","title":"Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs","created":"2025-02-16","cited_by_count":14,"area":"rag"},{"id":"2504.08231","title":"Out of Style: RAG's Fragility to Linguistic Variation","created":"2025-04-11","cited_by_count":11,"area":"rag"},{"id":"2409.02361","title":"Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering","created":"2024-09-04","cited_by_count":10,"area":"rag"},{"id":"2504.05312","title":"Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation","created":"2025-02-19","cited_by_count":9,"area":"rag"},{"id":"2410.15531","title":"Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage","created":"2024-10-20","cited_by_count":8,"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":"2411.06805","title":"AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant","created":"2024-11-11","cited_by_count":5,"area":"rag"},{"id":"2505.19189","title":"POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval","created":"2025-05-25","cited_by_count":5,"area":"rag"},{"id":"2510.18633","title":"Query Decomposition for RAG: Balancing Exploration-Exploitation","created":"2025-10-21","cited_by_count":5,"area":"rag"},{"id":"2508.15437","title":"Test-time Corpus Feedback: From Retrieval to RAG","created":"2025-08-21","cited_by_count":3,"area":"rag"},{"id":"2604.09174","title":"Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG","created":"2026-04-10","cited_by_count":2,"area":"rag"},{"id":"2407.01158","title":"Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation","created":"2024-07-01","cited_by_count":1,"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":"2510.21068","title":"Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering","created":"2025-10-24","cited_by_count":0,"area":"rag"},{"id":"2602.18734","title":"Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem","created":"2026-02-21","cited_by_count":0,"area":"rag"},{"id":"2603.24925","title":"GraphER: An Efficient Graph-Based Enrichment and Reranking Method for Retrieval-Augmented Generation","created":"2026-03-26","cited_by_count":0,"area":"rag"},{"id":"2604.07590","title":"DCD: Domain-Oriented Design for Controlled Retrieval-Augmented Generation","created":"2026-04-08","cited_by_count":0,"area":"rag"},{"id":"2604.19899","title":"A Reproducibility Study of Metacognitive Retrieval-Augmented Generation","created":"2026-04-21","cited_by_count":0,"area":"rag"},{"id":"2609.06065","title":"Don't Lose Entities from Retrieval to Generation: Dual Entity Recovery RAG for multi-hop QA","created":"2026-09-05","cited_by_count":0,"area":"rag"}],"next_cursor":null}