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Target Regeneration Shrinks the Gains of Draft-Training Objectives in Speculative Decoding

arXiv:2610.29013v1 Announce Type: new Abstract: Speculative decoding accelerates large language models by verifying drafted tokens in parallel. New draft-training objectives are usually credited with the acceptance they add over cross-entropy on externally written responses, yet many pipelines let…

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  1. 2026-10-22 04:00 · arXiv cs.CL
    Target Regeneration Shrinks the Gains of Draft-Training Objectives in Speculative Decoding

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