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Cohere introduces CALIBER, a method training reasoning models to report initial and final confidence estimates. On the BigMathDigits benchmark, the 7B model reduces calibration error by 52.5% compared to the best single-confidence baseline. The approach improves performance on GPQA, TriviaQA, and SimpleQA without extra training.
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