Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Published in arXiv, 2024
DPA-RAG is a universal framework for aligning diverse preference knowledge within RAG systems, consisting of three main components: Preference Knowledge Construction, Reranker-LLM Alignment and LLM Self-Alignment.
Recommended citation: Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen: INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) http://snownation101.github.io/files/DPA.pdf