Yuan Wang

Claim-Level Confidence Calibration for Reliable Decision Making with Large Language Models

Claim-level decomposition combined with post-hoc calibration reduces expected calibration error on factual questions while exposing failure modes on adversarial false-premise questions where decision-makers most need reliable uncertainty estimates.