Bridging the Preference Gap between Retrievers and LLMs

• Main Authors: Ke, Zixuan, Kong, Weize, Li, Cheng, Zhang, Mingyang, Mei, Qiaozhu, Bendersky, Michael
• Format: Journal Article
• Language: English
• Published: 12.01.2024
• Subjects: Computer Science - Computation and Language

Large Language Models (LLMs) have demonstrated superior results across a wide range of tasks, and Retrieval-augmented Generation (RAG) is an effective way to enhance the performance by locating relevant information and placing it into the context window of the LLM. However, the relationship between...