论文10:26
Claim-Level Confidence Calibration for Reliable Decision Making with Large Language ModelsThis research provides a new approach to improve the reliability of LLMs in decision-making by calibrating claim-level confidence, which is particularly useful for high-stakes domains where accurate uncertainty estimation is crucial.