Author

Eliron Rahimi

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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

#artificial intelligence Feb 2026

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models

It is shown that diffusion remasking can promote recovery from harmful intermediate generations, provide evidence that this behavior is tied to the sampling mechanism, and demonstrate that switching from AR to diffusion sampling improves jailbreak robustness, including under fixed model weights.

Eliron Rahimi, Elad Hirshel, Rom Himelstein et al. · arXiv.org · 2 citations