Unverified50% confidenceTradeoffExact time
扩散模型在指令遵循、逐步推理（如CoT）方面面临结构性挑战，因其并行全局生成机制需在未确定前文推理步骤的情况下预测后续内容
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
The Rise of Diffusion Language Models: DiffusionGemma Crushes Autoregressive Models in Speed Tests
redditr/GoogleGeminiAI7/11/2026
Related Claims
Unverified扩散语言模型在复杂推理、指令遵循和思维链等方面面临结构性挑战，可控性弱于自回归模型75% similarUnverifiedChain-of-Thought (CoT) prompting improves the quality of complex problem solving by requiring the model to reason step by step.74% similarUnverifiedResearch from institutions such as Anthropic and DeepMind indicates that CoT reasoning chains exhibit a systematic post-hoc rationalization phenomenon, in which models sometimes arrive at an answer first and then construct reasoning steps in reverse.74% similarUnverified传统自回归推理中，模型每一步只能基于已有上下文预测下一个token，是串行依赖关系73% similarVerifiedResearch has found that the chain-of-thought reasoning generated by models does not fully correspond to their actual internal computation processes, and may provide post-hoc explanations unrelated to the true decision-making path.73% similar
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