Diagnostic uncertainty: teaching language Models to describe open-ended uncertainty

The paper introduces diagnostic uncertainty in language models.It enables models to describe their uncertainty openly.Improved accuracy and reduced entropy in responses are achieved.A framework for operationalizing uncertainty in LMs is proposed.The method enhances model interpretability and understanding of behavior.