{"total":17,"rows":[{"id":"2404.07220","title":"Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers","created":"2024-03-22","cited_by_count":84,"area":"rag"},{"id":"2412.13163","title":"C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System","created":"2024-12-17","cited_by_count":19,"area":"rag"},{"id":"2503.15191","title":"Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems","created":"2025-03-19","cited_by_count":9,"area":"rag"},{"id":"2407.12101","title":"Better RAG using Relevant Information Gain","created":"2024-07-16","cited_by_count":8,"area":"rag"},{"id":"2502.14930","title":"RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice","created":"2025-02-20","cited_by_count":6,"area":"rag"},{"id":"2508.01405","title":"Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search","created":"2025-08-02","cited_by_count":4,"area":"rag"},{"id":"2504.08930","title":"VectorLiteRAG: Latency-Aware and Fine-Grained Resource Partitioning for Efficient RAG","created":"2025-04-11","cited_by_count":3,"area":"rag"},{"id":"2604.27852","title":"NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains","created":"2026-04-30","cited_by_count":3,"area":"rag"},{"id":"2410.20088","title":"RARe: Retrieval Augmented Retrieval with In-Context Examples","created":"2024-10-26","cited_by_count":2,"area":"rag"},{"id":"2504.21747","title":"Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data","created":"2025-04-30","cited_by_count":0,"area":"rag"},{"id":"2506.00527","title":"Retrieval-Augmented Generation Systems for Intellectual Property via Synthetic Multi-Angle Fine-tuning","created":"2025-05-31","cited_by_count":0,"area":"rag"},{"id":"2511.00855","title":"All-in-one Graph-based Indexing for Hybrid Search on GPUs","created":"2025-11-02","cited_by_count":0,"area":"rag"},{"id":"2602.20083","title":"CQ-CiM: Hardware-Aware Embedding Shaping for Robust CiM-Based Retrieval","created":"2026-02-23","cited_by_count":0,"area":"rag"},{"id":"2604.05268","title":"Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking","created":"2026-04-07","cited_by_count":0,"area":"rag"},{"id":"2605.05459","title":"Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs","created":"2026-05-06","cited_by_count":0,"area":"rag"},{"id":"2605.31377","title":"DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval","created":"2026-05-29","cited_by_count":0,"area":"rag"},{"id":"2609.13489","title":"Pre-retrieval Query Clustering for Adaptive Top-k Document Retrieval in RAG Systems","created":"2026-09-11","cited_by_count":0,"area":"rag"}],"next_cursor":null}