Diagnostic uncertainty: teaching language Models to describe open-ended uncertainty
Mar 14, 2025•4 min
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Episode description
- 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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