Unverified50% confidenceOpinionExact time
One-step parallel generation requires the model to produce all tokens simultaneously in a single forward pass, and conventional approaches make it difficult to inject a preference over prediction order.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
11/2/2026
First Seen
Valid until: 1/31/2027
Sources
Related Entities
Related Claims
UnverifiedAutoregressive models generate token by token, with each step conditioned on the previously generated content.76% similarUnverifiedFor each token generated or processed, one forward pass must be executed, and its computational cost is roughly proportional to the number of model parameters.76% similarVerifiedWhen a prompt is entered, the model predicts the most likely next token based on context, rather than truly understanding the semantics.75% similarUnverified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74% similarUnverifiedAutoregressive generative models sample the next token at each step based on the probability distribution of the preceding context; when a repetitive pattern gains a slightly higher probability, it forms a positive feedback loop that leads to repetition degeneration.73% similar
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