SELFDOUBT introduces the Hedge-to-Verify Ratio from reasoning traces as a single-pass uncertainty signal, with no-hedge traces correct 96% of the time and outperforming semantic entropy at 10x lower cost.
This includes exact-match formatting mismatches (e.g., false vs
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SELFDOUBT: Uncertainty Quantification for Reasoning LLMs via the Hedge-to-Verify Ratio
SELFDOUBT introduces the Hedge-to-Verify Ratio from reasoning traces as a single-pass uncertainty signal, with no-hedge traces correct 96% of the time and outperforming semantic entropy at 10x lower cost.