From Entropy to Calibrated Uncertainty: Training Language Models to Reason About Uncertainty

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Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
2025Xumeng Wen, Zihan Liu et al.
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Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
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Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
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"Develop a pipeline to efficiently infer calibrated uncertainty estimates in LLMs for high-stakes domains."

LLM CalibrationScore: 3View PDF ↗

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