Unverified50% confidenceFactExact time
An autoregressive model requires only one forward pass to generate each token.
1
Sources
50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
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Related Claims
Unverified输出生成是严格串行的自回归过程，每生成一个token都需要一次完整的模型前向传播78% similarUnverifiedLarge language models use an autoregressive generation mechanism, sampling the next token at each step based solely on a probability distribution, with each token's generation conditioned on all preceding tokens to form a chain of probabilistic dependencies.73% similarUnverifiedAutoregressive generation refers to the model predicting the next token each time based on all previously generated tokens, progressively unfolding until a complete code block is generated72% similarUnverifiedTraditional autoregressive methods require N forward passes to generate N tokens, whereas speculative decoding consolidates multiple calls into one through batch verification.71% 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71% similar
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