NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems
Noise-Aware Verbal Confidence CAlibration Rules are proposed to provide a principled foundation for resolving overconfidence under noise and NOVA, a noise-aware calibration framework that synthesizes supervision from ~2K HotpotQA examples guided by these rules.
Jiayu Liu, Rui Wang, Qing Zong et al.
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