Yiyang Cheng

Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) has proven effective in enhancing the knowledge coverage of large language models (LLMs) and mitigating hallucinations by incorporating external retrieved documents. However, documents deemed relevant by the retriever are not necessarily helpful for answer genera