Unverified50% confidenceFactExact time
ProVe makes the large model itself the proposer, predicting multiple future tokens in one forward pass, then completing verification with one additional forward pass.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
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Related Claims
Unverified大模型推理的本质是自回归生成，即不断预测下一个token76% similarVerifiedSpeculative Decoding uses a small, fast draft model to predict multiple tokens in advance, which are then verified in parallel all at once by the large model.74% similarVerifiedLarge language models are fundamentally performing probabilistic predictions of the next most likely token in a sequence.71% similarUnverifiedFUDGE trains a discriminator that predicts whether a future sequence will satisfy a given attribute, and re-weights candidate tokens at each step.71% similarUnverifiedIt is recommended to first conduct small-scale validation with real prompts on the target model to quantify the capability gap, before deciding whether to fully replace or adopt a hybrid approach.71% similar
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