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Jul, 2024
RankRAG: 在LLMs中统一上下文排序与检索增强生成
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
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Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You...
TL;DR
大规模语言模型通过RankRAG提出的新型指令微调框架,在检索增强生成中实现了上下文排序和答案生成的双重目的,并在多个基准测试中表现出色。
Abstract
large language models
(LLMs) typically utilize the top-k contexts from a retriever in
retrieval-augmented generation
(RAG). In this work, we propose a novel instruction fine-tuning framework
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