cs.AI updates on arXiv.org 10月02日 12:15
基于CoT的推理可解释性新方法
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本文提出了一种基于Curry-Howard对应的新方法,用于提高大语言模型推理的可靠性,通过将CoT的自然语言步骤转化为形式化证明结构,实现推理过程的正式验证。

arXiv:2510.01069v1 Announce Type: new Abstract: While Chain-of-Thought (CoT) prompting enhances the reasoning capabilities of large language models, the faithfulness of the generated rationales remains an open problem for model interpretability. We propose a novel theoretical lens for this problem grounded in the Curry-Howard correspondence, which posits a direct relationship between formal proofs and computer programs. Under this paradigm, a faithful reasoning trace is analogous to a well-typed program, where each intermediate step corresponds to a typed logical inference. We operationalise this analogy, presenting methods to extract and map the informal, natural language steps of CoT into a formal, typed proof structure. Successfully converting a CoT trace into a well-typed proof serves as a strong, verifiable certificate of its computational faithfulness, moving beyond heuristic interpretability towards formal verification. Our framework provides a methodology to transform plausible narrative explanations into formally verifiable programs, offering a path towards building more reliable and trustworthy AI systems.

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CoT 推理可解释性 Curry-Howard对应 形式化证明 大语言模型
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