ConRAG: Consensus-Driven Multi-View Retrieval for Multi-Hop Question Answering

Yikai Zhu, Kunfeng Chen, Qihuang Zhong +2

Retrieval-augmented generation (RAG) has emerged as a promising paradigm for enhancing large language models (LLMs) on multi-hop question answering (QA), which requires reasoning o…