{"total":21,"rows":[{"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":"2402.19473","title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey","created":"2024-02-29","cited_by_count":354,"area":"rag"},{"id":"2401.15884","title":"Corrective Retrieval Augmented Generation","created":"2024-01-29","cited_by_count":197,"area":"rag"},{"id":"2202.01110","title":"A Survey on Retrieval-Augmented Text Generation","created":"2022-02-02","cited_by_count":158,"area":"rag"},{"id":"2210.02627","title":"Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering","created":"2022-10-06","cited_by_count":127,"area":"rag"},{"id":"2304.06762","title":"Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study","created":"2023-04-13","cited_by_count":63,"area":"rag"},{"id":"2408.08067","title":"RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation","created":"2024-08-15","cited_by_count":61,"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":"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":"2401.13256","title":"UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems","created":"2024-01-24","cited_by_count":38,"area":"rag"},{"id":"2403.05676","title":"PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design","created":"2024-03-08","cited_by_count":28,"area":"rag"},{"id":"2404.19543","title":"RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing","created":"2024-04-30","cited_by_count":25,"area":"rag"},{"id":"2310.09949","title":"Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models","created":"2023-10-15","cited_by_count":23,"area":"rag"},{"id":"2503.14649","title":"RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving","created":"2025-03-18","cited_by_count":19,"area":"rag"},{"id":"2405.18727","title":"CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control","created":"2024-05-29","cited_by_count":13,"area":"rag"},{"id":"2505.12731","title":"Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps","created":"2025-05-19","cited_by_count":6,"area":"rag"},{"id":"2507.07307","title":"Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation","created":"2025-07-09","cited_by_count":3,"area":"rag"},{"id":"2308.08169","title":"Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System","created":"2023-08-16","cited_by_count":2,"area":"rag"},{"id":"2403.11366","title":"JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning","created":"2024-03-17","cited_by_count":2,"area":"rag"},{"id":"2502.10881","title":"CiteCheck: Towards Accurate Citation Faithfulness Detection","created":"2025-02-15","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"}],"next_cursor":null}