{"total":21,"rows":[{"id":"2208.03299","title":"Atlas: Few-shot Learning with Retrieval Augmented Language Models","created":"2022-08-05","cited_by_count":952,"area":"rag"},{"id":"2405.06211","title":"A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models","created":"2024-05-10","cited_by_count":452,"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":"2407.02485","title":"RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs","created":"2024-07-02","cited_by_count":202,"area":"rag"},{"id":"2311.09210","title":"Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models","created":"2023-11-15","cited_by_count":184,"area":"rag"},{"id":"2501.13958","title":"A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models","created":"2025-01-21","cited_by_count":88,"area":"rag"},{"id":"2407.13193","title":"Retrieval-Augmented Generation for Natural Language Processing: A Survey","created":"2024-07-18","cited_by_count":71,"area":"rag"},{"id":"2506.05690","title":"When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation","created":"2025-06-06","cited_by_count":48,"area":"rag"},{"id":"2405.13021","title":"IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues","created":"2024-05-15","cited_by_count":40,"area":"rag"},{"id":"2402.11129","title":"BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering","created":"2024-02-16","cited_by_count":29,"area":"rag"},{"id":"2410.12788","title":"Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception","created":"2024-10-16","cited_by_count":17,"area":"rag"},{"id":"2505.20245","title":"KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing","created":"2025-05-26","cited_by_count":8,"area":"rag"},{"id":"2501.02702","title":"QuIM-RAG: Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance","created":"2025-01-06","cited_by_count":6,"area":"rag"},{"id":"2502.12145","title":"Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control","created":"2025-02-17","cited_by_count":6,"area":"rag"},{"id":"2410.16843","title":"Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning","created":"2024-10-22","cited_by_count":4,"area":"rag"},{"id":"2406.11681","title":"R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models","created":"2024-06-17","cited_by_count":2,"area":"rag"},{"id":"2603.24556","title":"Evaluating Chunking Strategies For Retrieval-Augmented Generation in Oil and Gas Enterprise Documents","created":"2026-03-25","cited_by_count":1,"area":"rag"},{"id":"2411.19478","title":"Zero-Indexing Internet Search Augmented Generation for Large Language Models","created":"2024-11-29","cited_by_count":0,"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":"2603.11650","title":"QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate","created":"2026-03-12","cited_by_count":0,"area":"rag"},{"id":"2608.25717","title":"When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies","created":"2026-08-26","cited_by_count":0,"area":"rag"}],"next_cursor":null}