Unverified70% confidenceFactExact time
By externalizing intermediate steps as text, chain-of-thought equivalently extends the model's effective computational depth from the number of layers in a single forward pass to the number of layers multiplied by the number of reasoning steps.
2
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70%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
Unverified深度思考模式下，模型会先在内部生成中间推理步骤，再基于这些步骤得出最终结论，在处理多步逻辑推导任务时表现显著优于直接生成83% similarUnverifiedDuring inference, the model processes input triplets group by group in an autoregressive manner along the depth axis.78% similarUnverifiedDeep recursive reasoning models refer to a class of neural network architectures that gradually refine internal representations through multiple iterations of forward computation.78% similarVerifiedChain of Thought能显著提升模型在数学推理、逻辑判断等需要多步推导的任务上的表现77% similarUnverifiedRecurrent depth is more likely to complement chain-of-thought rather than fully replace it, and a hybrid architecture can be adopted: first performing multiple rounds of silent computation in latent space, then outputting a refined reasoning chain or final answer.77% similar
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