{"total":18,"rows":[{"id":"2404.10774","title":"MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents","created":"2024-04-16","cited_by_count":257,"area":"rag"},{"id":"2501.09136","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","created":"2025-01-15","cited_by_count":249,"area":"rag"},{"id":"2305.02437","title":"Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory","created":"2023-05-03","cited_by_count":103,"area":"rag"},{"id":"2405.16420","title":"M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions","created":"2024-05-26","cited_by_count":38,"area":"rag"},{"id":"2502.15734","title":"Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation","created":"2025-02-05","cited_by_count":36,"area":"rag"},{"id":"2503.10677","title":"A Survey on Knowledge-Oriented Retrieval-Augmented Generation","created":"2025-03-11","cited_by_count":36,"area":"rag"},{"id":"2505.04847","title":"Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards","created":"2025-05-07","cited_by_count":20,"area":"rag"},{"id":"2408.01084","title":"Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts","created":"2024-08-02","cited_by_count":19,"area":"rag"},{"id":"2502.18635","title":"Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems","created":"2025-02-25","cited_by_count":12,"area":"rag"},{"id":"2405.15198","title":"RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference","created":"2024-05-24","cited_by_count":4,"area":"rag"},{"id":"2409.15763","title":"IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios","created":"2024-09-24","cited_by_count":3,"area":"rag"},{"id":"2512.20182","title":"FaithLens: Detecting and Explaining Faithfulness Hallucination","created":"2025-12-23","cited_by_count":3,"area":"rag"},{"id":"2504.10168","title":"HalluSearch at SemEval-2025 Task 3: A Search-Enhanced RAG Pipeline for Hallucination Detection","created":"2025-04-14","cited_by_count":2,"area":"rag"},{"id":"2506.18628","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","created":"2025-06-23","cited_by_count":2,"area":"rag"},{"id":"2603.21607","title":"INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty Estimation","created":"2026-03-23","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":"2510.24870","title":"Seeing Through the MiRAGE: Evaluating Multimodal Retrieval Augmented Generation","created":"2025-10-28","cited_by_count":1,"area":"rag"},{"id":"2511.01649","title":"Evaluating Cultural Knowledge Processing in Large Language Models: A Cognitive Benchmarking Framework Integrating Retrieval-Augmented Generation","created":"2025-11-03","cited_by_count":0,"area":"rag"}],"next_cursor":null}