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

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