作者位次 #4/5ACL 2026Poster· Natural Language Processing
Stable- RAG : Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
Qianchi Zhang · Hainan Zhang · Liang Pang · Hong-Wei Zheng · Zhiming Zheng
摘要
Retrieval-Augmented Generation (RAG) has become a key paradigm for reducing factual hallucinations in Large Language Models (LLMs), yet little is known about how the order of retrieved documents affects model behavior. We empirically show that under a Top-5 retrieval setting with the gold documen...