Unverified50% confidenceFactExact time
The serial generation nature of autoregressive next-token prediction means each token requires a forward computation, resulting in significant latency when generating long texts.
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50%
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Long-term
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10/23/2026
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Related Claims
UnverifiedIn autoregressive generation, each token requires a full forward computation, and inference latency is proportional to generation length, making it the main throughput bottleneck.75% similarUnverifiedThe embedding approach can capture paraphrases that keep the meaning but change the words, but each step requires calling the embedding model, so cost and latency rise significantly, and threshold tuning is unstable.75% similarUnverifiedThe larger the parameters of a large language model, the higher the computational requirements for a single forward inference pass, and latency increases accordingly.73% similarVerifiedExcessive upfront thinking incurs increased latency and computational costs, which may not be worthwhile in scenarios that prioritize response speed.72% similarUnverified随着对话轮次增加，每轮需携带完整历史上下文，输入token数量持续膨胀，导致推理时间呈现非线性增长72% similar
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