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Teaching Diffusion to Speculate Left-to-Right

arXiv cs.CL · 2026-06-11 Cached

This paper proposes three training-time interventions (positional weighting, first-error focal loss, and chain loss) to align diffusion-based draft models with autoregressive verification in speculative decoding, improving accepted prefix length by 21–76% without extra inference cost.

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