Research

Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding Rounds

Single source1 source8 Oct 2026

arXiv:2610.10411v1 Announce Type: cross Abstract: Speculative decoding accelerates large language model inference by using a low-cost draft model to propose tokens that the full-size target model verifies in parallel.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2610.10411

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