Yexuan Che

Fine-grained Knowledge Enhancement for Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) effectively mitigates hallucinations in large language models (LLMs) by filling knowledge gaps with retrieved external information. Most existing studies primarily retrieve knowledge documents based on semantic similarity to assist in answering questions but igno…