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Factorization-Guided Training and Inference for Diffusion-Drafted Speculative Decoding

arXiv:2610.23935v1 Announce Type: new Abstract: Speculative decoding accelerates large language model inference through parallel verification of tokens proposed by a drafter. Diffusion drafters further parallelize proposal generation, but greater proposal capacity or higher mean accepted tokens (MA…

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  1. 2026-10-20 04:00 · arXiv cs.LG
    Factorization-Guided Training and Inference for Diffusion-Drafted Speculative Decoding

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