LLM-Specific Utility for Retrieval-Augmented Generation

Hengran Zhang, Keping Bi, Jiafeng Guo +4

Retrieval-augmented generation (RAG) is typically optimized for topical relevance, yet its success ultimately depends on whether retrieved passages are useful for a large language…