Author

Roy Eisenstadt

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#natural language process... Preprint Oct 2026

Contextual Correction of Parallel Drafts for Speculative Decoding

Speculative decoding accelerates large language model inference by using a lightweight drafter to propose multiple tokens that are subsequently verified in parallel by the target model. Recent diffusion-based drafters make this paradigm particularly attractive: deep attention-based neural backbones provide strong predi...

Roy Eisenstadt, Harel Lidar, T. Gonen et al. · 0 citations

#natural language process... Preprint Sep 2026

To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals

SwitchSD is introduced, an adaptive framework that treats copying as a latent control signal of the LLM that allows the system to dynamically switch between neural drafting and context-based copying, effectively turning copying from a noisy heuristic into a principled, model-aware decoding regime.

Roy Eisenstadt, Ido Cohen, Edo Cohen-Karlik et al. · 1 citation