most citedRetrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

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cs.CL2025

RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation

Shi-Qi Yan, Quan Liu, Zhen-Hua Ling

While Retrieval-Augmented Generation (RAG) has exhibited promise in utilizing external knowledge, its generation process heavily depends on the quality and accuracy of the retrieve…

cs.CL2024★ 2 cited

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

Bolei He, Nuo Chen, Xinran He +4

Recent Retrieval Augmented Generation (RAG) aims to enhance Large Language Models (LLMs) by incorporating extensive knowledge retrieved from external sources. However, such approac…