{"total":20,"rows":[{"id":"2402.07867","title":"PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models","created":"2024-02-12","cited_by_count":267,"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":"2401.06954","title":"Bridging the Preference Gap between Retrievers and LLMs","created":"2024-01-13","cited_by_count":69,"area":"rag"},{"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":"2405.16178","title":"Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection","created":"2024-05-25","cited_by_count":25,"area":"rag"},{"id":"2406.09459","title":"Ad Auctions for LLMs via Retrieval Augmented Generation","created":"2024-06-12","cited_by_count":18,"area":"rag"},{"id":"2505.18543","title":"Benchmarking Poisoning Attacks against Retrieval-Augmented Generation","created":"2025-05-24","cited_by_count":18,"area":"rag"},{"id":"2409.17275","title":"On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains","created":"2024-09-12","cited_by_count":14,"area":"rag"},{"id":"2307.05074","title":"Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain","created":"2023-07-11","cited_by_count":12,"area":"rag"},{"id":"2509.13772","title":"Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation","created":"2025-09-17","cited_by_count":12,"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":"2508.02835","title":"Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation","created":"2025-08-04","cited_by_count":11,"area":"rag"},{"id":"2410.15107","title":"Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models","created":"2024-10-19","cited_by_count":8,"area":"rag"},{"id":"2311.05903","title":"Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users","created":"2023-11-10","cited_by_count":6,"area":"rag"},{"id":"2505.07891","title":"TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking","created":"2025-05-11","cited_by_count":4,"area":"rag"},{"id":"2601.09913","title":"Continuum Memory Architectures for Long-Horizon LLM Agents","created":"2026-01-14","cited_by_count":3,"area":"rag"},{"id":"2401.13222","title":"It's About Time: Incorporating Temporality in Retrieval Augmented Language Models","created":"2024-01-24","cited_by_count":1,"area":"rag"},{"id":"2505.10493","title":"DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation","created":"2025-05-15","cited_by_count":1,"area":"rag"},{"id":"2407.18044","title":"The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation for Healthcare QA","created":"2024-07-25","cited_by_count":0,"area":"rag"},{"id":"2605.00955","title":"E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems","created":"2026-05-01","cited_by_count":0,"area":"rag"}],"next_cursor":null}