A classifier trained on layerwise decodes and BERTScore similarities to the final output gives better-calibrated confidence for tool calls and improves expected utility at medium and high risk levels.
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MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools
A classifier trained on layerwise decodes and BERTScore similarities to the final output gives better-calibrated confidence for tool calls and improves expected utility at medium and high risk levels.