{"total":27,"rows":[{"id":"2310.01558","title":"Making Retrieval-Augmented Language Models Robust to Irrelevant Context","created":"2023-10-02","cited_by_count":369,"area":"rag"},{"id":"2404.10774","title":"MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents","created":"2024-04-16","cited_by_count":257,"area":"rag"},{"id":"2310.07554","title":"A Multi-Task Embedder For Retrieval Augmented LLMs","created":"2023-10-11","cited_by_count":64,"area":"rag"},{"id":"2407.10670","title":"Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems","created":"2024-07-15","cited_by_count":15,"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":"2410.15801","title":"Improve Dense Passage Retrieval with Entailment Tuning","created":"2024-10-21","cited_by_count":7,"area":"rag"},{"id":"2510.03418","title":"LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents","created":"2025-10-03","cited_by_count":7,"area":"rag"},{"id":"2409.00636","title":"A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine","created":"2024-09-01","cited_by_count":5,"area":"rag"},{"id":"2509.23233","title":"Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models","created":"2025-09-27","cited_by_count":4,"area":"rag"},{"id":"2602.20135","title":"KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration","created":"2026-02-23","cited_by_count":4,"area":"rag"},{"id":"2510.23896","title":"AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages","created":"2025-10-27","cited_by_count":3,"area":"rag"},{"id":"2405.20680","title":"Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models","created":"2024-05-31","cited_by_count":2,"area":"rag"},{"id":"2606.06748","title":"Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection","created":"2026-06-04","cited_by_count":2,"area":"rag"},{"id":"2506.09886","title":"Probabilistic distances-based hallucination detection in LLMs with RAG","created":"2025-06-11","cited_by_count":1,"area":"rag"},{"id":"2507.07155","title":"Evaluating Retrieval-Augmented Generation Agents for Autonomous Scientific Discovery in Astrophysics","created":"2025-07-09","cited_by_count":1,"area":"rag"},{"id":"2508.09096","title":"Link Prediction for Event Logs in the Process Industry","created":"2025-08-12","cited_by_count":1,"area":"rag"},{"id":"2512.09148","title":"Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment","created":"2025-12-09","cited_by_count":1,"area":"rag"},{"id":"2603.27752","title":"Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAG","created":"2026-03-29","cited_by_count":1,"area":"rag"},{"id":"2512.15068","title":"The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems","created":"2025-12-17","cited_by_count":0,"area":"rag"},{"id":"2601.07861","title":"EmbeddingRWKV: State-Centric Retrieval with Reusable States","created":"2026-01-10","cited_by_count":0,"area":"rag"},{"id":"2605.01078","title":"A Sentence Relation-Based Approach to Sanitizing Malicious Instructions","created":"2026-05-01","cited_by_count":0,"area":"rag"},{"id":"2605.14488","title":"Deepchecks: Evaluating Retrieval-Augmented Generation (RAG)","created":"2026-05-14","cited_by_count":0,"area":"rag"},{"id":"2607.03447","title":"TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation","created":"2026-07-03","cited_by_count":0,"area":"rag"},{"id":"2608.00585","title":"Verification Without Sufficiency: Per-Chunk Filtering Fails on Multi-Hop RAG, and Decomposition Repairs It","created":"2026-08-01","cited_by_count":0,"area":"rag"},{"id":"2608.18681","title":"Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation","created":"2026-08-19","cited_by_count":0,"area":"rag"},{"id":"2609.03749","title":"Rent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG","created":"2026-09-03","cited_by_count":0,"area":"rag"},{"id":"2609.14245","title":"The Attribution-Compression Frontier in Retrieval-Augmented Generation","created":"2026-09-13","cited_by_count":0,"area":"rag"}],"next_cursor":null}