Shao-Bing Qu

Enabling Retriever-LLM Connection Across the Semantic Gap in Retrieval-Augmented Generation

Retrieval-augmented generation (RAG) has attracted significant attention for enhancing large language models (LLMs) in domain-specific and knowledge-intensive tasks by utilizing external documents retrieved by retrievers. However, LLMs often struggle to determine which retrieved documents are relevant and how they rela...