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Research directions for improving model calibration include introducing uncertainty tokens through supervised fine-tuning, performing post-calibration on probability distributions using temperature sampling, and training models to proactively output the ability to refuse to answer.
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50%
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Medium-term (~90 days)
Relevance
9/19/2026
First Seen
Valid until: 12/18/2026
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