Quantifying Faithful Confidence Expression in Large Reasoning Models 事件

Quantifying Faithful Confidence Expression in Large Reasoning Models arXiv:2606.03969v1 Announce Type: new Abstract: Reliable uncertainty communication is critical to the trustworthiness of LLMs, yet faithful calibration (FC)--the alignment between models' intrinsic and (linguistically) expressed confidence--is a persistent failure mode. This challenge is key for large reasoning models (LRMs), whose extended reasoning traces are often interpreted by users as evidence of deliberation, competence