Best AI papers explained

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


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  • 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. 

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Best AI papers explainedBy Enoch H. Kang