Structure Guided Retrieval-Augmented Generation for Factual Queries
arXiv:2604.22843v1 Announce Type: cross
Abstract: Retrieval-Augmented Generation (RAG) has been proposed to mitigate hallucinations in large language models (LLMs), where generated outputs may be factually incorrect. However, existing RAG approaches p…