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What Makes a Latent Thought Valid? Defining and Auditing Thought Representations in LLMs

Seddik, Fahd et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Chain-of-Thought (CoT) reasoning improves the performance of Large Language Models (LLMs), yet it writes steps as text and follows one reasoning path at a time, which limits the capabilities of such models. Latent reasoning methods replace these steps with continuous thought representations and clai
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