{"total":32,"rows":[{"id":"2407.01219","title":"Searching for Best Practices in Retrieval-Augmented Generation","created":"2024-07-01","cited_by_count":83,"area":"rag"},{"id":"2410.02642","title":"Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers","created":"2024-10-03","cited_by_count":43,"area":"rag"},{"id":"2502.06872","title":"Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey","created":"2025-02-08","cited_by_count":30,"area":"rag"},{"id":"2505.11548","title":"One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems","created":"2025-05-15","cited_by_count":28,"area":"rag"},{"id":"2501.16214","title":"Provence: efficient and robust context pruning for retrieval-augmented generation","created":"2025-01-27","cited_by_count":25,"area":"rag"},{"id":"2507.06838","title":"Shifting from Ranking to Set Selection for Retrieval Augmented Generation","created":"2025-07-09","cited_by_count":15,"area":"rag"},{"id":"2502.02464","title":"Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation","created":"2025-02-04","cited_by_count":13,"area":"rag"},{"id":"2502.15025","title":"Is Relevance Propagated from Retriever to Generator in RAG?","created":"2025-02-20","cited_by_count":11,"area":"rag"},{"id":"2501.15245","title":"ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval","created":"2025-01-25","cited_by_count":9,"area":"rag"},{"id":"2410.15262","title":"HyQE: Ranking Contexts with Hypothetical Query Embeddings","created":"2024-10-20","cited_by_count":6,"area":"rag"},{"id":"2509.03787","title":"Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain","created":"2025-09-04","cited_by_count":6,"area":"rag"},{"id":"2504.05220","title":"Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation","created":"2025-04-07","cited_by_count":5,"area":"rag"},{"id":"2506.08276","title":"LEANN: A Low-Storage Vector Index","created":"2025-06-09","cited_by_count":4,"area":"rag"},{"id":"2508.15437","title":"Test-time Corpus Feedback: From Retrieval to RAG","created":"2025-08-21","cited_by_count":3,"area":"rag"},{"id":"2512.01335","title":"EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations","created":"2025-12-01","cited_by_count":3,"area":"rag"},{"id":"2502.20245","title":"From Retrieval to Generation: Comparing Different Approaches","created":"2025-02-27","cited_by_count":2,"area":"rag"},{"id":"2602.13571","title":"LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation Systems","created":"2026-02-14","cited_by_count":2,"area":"rag"},{"id":"2406.19309","title":"Which Neurons Matter in IR? Applying Integrated Gradients-based Methods to Understand Cross-Encoders","created":"2024-06-27","cited_by_count":1,"area":"rag"},{"id":"2506.22262","title":"JointRank: Rank Large Set with Single Pass","created":"2025-06-27","cited_by_count":1,"area":"rag"},{"id":"2507.19102","title":"Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation","created":"2025-07-25","cited_by_count":1,"area":"rag"},{"id":"2512.23307","title":"RobustMask: Certified Robustness against Adversarial Neural Ranking Attack via Randomized Masking","created":"2025-12-29","cited_by_count":1,"area":"rag"},{"id":"2602.12727","title":"Training Dense Retrievers with Multiple Positive Passages","created":"2026-02-13","cited_by_count":1,"area":"rag"},{"id":"2604.09430","title":"On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework","created":"2026-04-10","cited_by_count":1,"area":"rag"},{"id":"2608.07152","title":"Exact Adaptive Hybrid Retrieval Without Fixed Top-L Cutoffs","created":"2026-08-07","cited_by_count":1,"area":"rag"},{"id":"2510.13329","title":"Embedding-Based Context-Aware Reranker","created":"2025-10-15","cited_by_count":0,"area":"rag"},{"id":"2604.27244","title":"RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation","created":"2026-04-29","cited_by_count":0,"area":"rag"},{"id":"2608.26379","title":"Assessing the Downstream Utility of Evidence-Aware Retrieval in RAG","created":"2026-08-26","cited_by_count":0,"area":"rag"},{"id":"2609.02913","title":"CHSR-RRF: A curriculum-gated hybrid retrieval framework with reciprocal rank fusion and leakage-aware benchmarking for educational RAG","created":"2026-07-14","cited_by_count":0,"area":"rag"},{"id":"2609.05110","title":"Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval","created":"2026-09-04","cited_by_count":0,"area":"rag"},{"id":"2609.08887","title":"Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems","created":"2026-09-08","cited_by_count":0,"area":"rag"},{"id":"2609.11082","title":"ToxicRAG: Compromising Retrieval-Augmented Generation Systems via Single-Shot Knowledge Poisoning Attacks","created":"2026-09-10","cited_by_count":0,"area":"rag"},{"id":"2609.24122","title":"Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelines","created":"2026-09-21","cited_by_count":0,"area":"rag"}],"next_cursor":null}