Paper proposes experiential confidence estimation for LLM agents
The paper argues existing confidence estimators share a single design premise and proposes estimating confidence from experience, spanning reasoning tasks through agents. It frames calibrated correctness estimates as deciding what to ship, escalate, or retry.
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