Unverified50% confidenceFactExact time
自回归模型采用从左到右的顺序生成，推理阶段必须串行执行，无法并行
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自回归语言模型采用严格的从左到右顺序生成，推理阶段必须串行执行，无法并行，构成速度上的天然上限84% similarUnverified自回归模型逐Token从左到右生成，本质是马尔可夫过程，在逻辑推理中存在错误积累效应82% 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.75% similarVerifiedChain-of-Thought（思维链）提示技术通过强制模型先输出中间步骤来部分缓解自回归模型在逻辑推理中的缺陷74% similarUnverifiedLarge language models perform poorly on math and logic problems requiring multi-step reasoning, as models tend to 'jump' directly to an answer rather than going through intermediate reasoning steps.73% similar
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