Chain-of-thought is formalized as tree decomposition of multi-class classification problems whose error follows a power law, yielding a critical degree threshold and an optimal thinking depth that cannot be improved by going deeper.
However, it is common to use more sophisticated methods to improve the effectiveness of CoT-based reasoning (Yao et al., 2023; Besta et al., 2024; Wang et al., 2023)
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How does Chain of Thought decompose complex tasks?
Chain-of-thought is formalized as tree decomposition of multi-class classification problems whose error follows a power law, yielding a critical degree threshold and an optimal thinking depth that cannot be improved by going deeper.