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Eliezer Shlomi

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#machine learning Preprint Oct 2026

On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction

This work proposes using coupled-noise match verification for diffusion blocks, following shared-Gumbel-noise coupling approaches, and introduces Speculating Positions Order Trajectory (SPOT), which learns to predict this order.

Eliezer Shlomi, Eliron Rahimi, Avi Mendelson et al. · 0 citations

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