LLM accuracy follows an inverted U in chain-of-thought length, with an optimal length that grows with task difficulty and shrinks with model capability.
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When More is Less: Understanding Chain-of-Thought Length in LLMs
LLM accuracy follows an inverted U in chain-of-thought length, with an optimal length that grows with task difficulty and shrinks with model capability.