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LogicTrack: Auditing Reasoning Trajectories of Large Language Models with Formal Logic Solvers
Chain-of-Thought (CoT) reasoning has been shown to improve the performance of large language models (LLMs), yet existing optimization methods largely rely on outcome-based feedback, leaving the logical validity of intermediate reasoning steps largely unverified. To address the gap whereby LLMs arriv
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