Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning

Yuhang Wu, Xiangqing Shen, Fanfan Wang +4

Rerankers play a pivotal role in refining retrieval results for Retrieval-Augmented Generation. However, current reranking models are typically optimized on static human annotated…