CRITIC-R1: Learning Structured Critics for Retrieval-Augmented Generation 事件

CRITIC-R1: Learning Structured Critics for Retrieval-Augmented Generation arXiv:2605.29886v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves knowledge-intensive question answering by incorporating external evidence. However, existing RAG methods still suffer from hallucinations and subtle reasoning errors. Recent studies introduce external critics to refine RAG outputs, yet they often provide coarse-grained and weakly structured feedback, exhibit over-aggressive inter