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Idil Kapikiran

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#machine learning Preprint Sep 2026

Also Small Models Can Reasonably Self-Evaluate Their Confidence

This study systematically evaluates self-evaluation-based uncertainty quantification across different language models of varying sizes on question-answering tasks spanning general to specialized knowledge domains. Using various self-evaluation methods where models judge their own predictions, we examine how model scale...

Idil Kapikiran, Thomas Decker, Thomas A. Runkler · 0 citations

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