Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty 事件

Human-Alignment, Calibration, and Activation Patterns in Large Language Model Uncertainty arXiv:2605.30675v1 Announce Type: new Abstract: Uncertainty Quantification is a large and growing subfield of large language model behavioral analysis. Primarily to recognize and combat hallucination, the field has largely focused on measuring and improving calibration, the accuracy of uncertainty judgments to task efficacy. In this work, we investigate the relatively underexplored question of how similar