2024
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
ICML 2024poster
Trustworthiness is an essential prerequisite for the real-world application of large language models. In this paper, we focus on the trustworthiness of language models with respect to retrieval augmentation. Despite being supported with external evidence, retrieval-augmented generation still suffers…