Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text 事件

Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text arXiv:2605.28740v1 Announce Type: new Abstract: As large language models are increasingly deployed for clinical text, ensuring they can reliably signal their own uncertainty becomes critical. Most existing uncertainty quantification (UQ) methods are designed for open-domain generation and cannot localize uncertainty at the token or span level in long clinical text. We propose Reverse Pr