{"total":27,"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":"2410.10594","title":"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents","created":"2024-10-14","cited_by_count":245,"area":"rag"},{"id":"2405.07437","title":"Evaluation of Retrieval-Augmented Generation: A Survey","created":"2024-05-13","cited_by_count":146,"area":"rag"},{"id":"2303.01229","title":"Almanac: Retrieval-Augmented Language Models for Clinical Medicine","created":"2023-03-01","cited_by_count":123,"area":"rag"},{"id":"2403.03187","title":"Reliable, Adaptable, and Attributable Language Models with Retrieval","created":"2024-03-05","cited_by_count":73,"area":"rag"},{"id":"2310.07713","title":"InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining","created":"2023-10-11","cited_by_count":53,"area":"rag"},{"id":"2510.01149","title":"ModernVBERT: Towards Smaller Visual Document Retrievers","created":"2025-10-01","cited_by_count":21,"area":"rag"},{"id":"2412.18295","title":"Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases","created":"2024-12-24","cited_by_count":18,"area":"rag"},{"id":"2505.15872","title":"InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation","created":"2025-05-21","cited_by_count":15,"area":"rag"},{"id":"2302.05578","title":"Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models","created":"2023-02-11","cited_by_count":13,"area":"rag"},{"id":"2406.07053","title":"TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs","created":"2024-06-11","cited_by_count":13,"area":"rag"},{"id":"2312.06457","title":"Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping","created":"2023-12-11","cited_by_count":11,"area":"rag"},{"id":"2502.15543","title":"ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation","created":"2025-02-21","cited_by_count":11,"area":"rag"},{"id":"2512.01356","title":"LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM","created":"2025-12-01","cited_by_count":8,"area":"rag"},{"id":"2410.20299","title":"EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update","created":"2024-10-27","cited_by_count":2,"area":"rag"},{"id":"2505.20825","title":"Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation","created":"2025-05-27","cited_by_count":2,"area":"rag"},{"id":"2405.02659","title":"R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models","created":"2024-05-04","cited_by_count":1,"area":"rag"},{"id":"2502.09596","title":"KIMAs: A Configurable Knowledge Integrated Multi-Agent System","created":"2025-02-13","cited_by_count":1,"area":"rag"},{"id":"2509.00646","title":"RAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring","created":"2025-08-31","cited_by_count":1,"area":"rag"},{"id":"2605.29491","title":"The Curse of Helpfulness: Inverse Scaling Law in Robustness to Distractor Instructions via DistractionIF","created":"2026-05-28","cited_by_count":1,"area":"rag"},{"id":"2605.30207","title":"Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit","created":"2026-05-28","cited_by_count":1,"area":"rag"},{"id":"2607.27506","title":"Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language Models","created":"2026-07-29","cited_by_count":1,"area":"rag"},{"id":"2502.20854","title":"A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation","created":"2025-02-28","cited_by_count":0,"area":"rag"},{"id":"2504.16947","title":"SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments","created":"2025-04-18","cited_by_count":0,"area":"rag"},{"id":"2511.22858","title":"RAG System for Supporting Japanese Litigation Procedures: Faithful Response Generation Complying with Legal Norms","created":"2025-11-28","cited_by_count":0,"area":"rag"},{"id":"2605.28837","title":"SERC: LDPC-Inspired Semantic Error Correction for Retrieval-Augmented Generation","created":"2026-04-12","cited_by_count":0,"area":"rag"},{"id":"2606.15482","title":"Ricci-Filtration: Boosting Retrieval-Augmented Generation Reranker to Query-Answer Tasks by Discrete Ricci Flow","created":"2026-06-13","cited_by_count":0,"area":"rag"}],"next_cursor":null}