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The paper proposes a novel optimization-based algorithm (codenamed METHODNAME) that learns optimal uncertainty profiles directly from LLM outputs, rather than estimating uncertainty through repeated sampling.
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10/4/2026
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UnverifiedThe METHODNAME method fits a token–uncertainty mapping for each linguistic marker so that it best explains the actual correctness rate of the model's answers.71% similarUnverifiedAdding schema validation at the tool-calling stage constrains the uncertainty of model outputs to a controllable range.70% similarUnverified基于模型的强化学习在样本效率上通常比无模型方法高出一个数量级以上，代表性算法包括Dyna、MBPO和Dreamer系列70% similarUnverified机器学习问题在概率视角下能够得到最好的分析，概率方法是在不确定性下进行决策的最优途径69% similarUnverifiedProbability theory is the mathematical foundation of modern AI, covering areas such as Bayesian inference, generative model sampling, uncertainty quantification, and reinforcement learning policy optimization.69% similar
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