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papersTODAY 04:00 UTC

AdaFlash: Adaptive Speculative Decoding with On-Policy Distilled Diffusion Drafters

A new arXiv paper proposes AdaFlash, a speculative decoding method that uses diffusion-based draft models distilled on-policy to speed up large language model inference. The approach adapts the drafting process rather than relying on a fixed draft model, aiming to improve acceptance rates during verification by the target model. It builds on prior work in this line, including DFlash, and appears as a revised submission.

AdaFlash DFlash On-Policy Distillation diffusion-models llm-inference speculative-decoding

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arXiv cs.CLAdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters ↗TODAY 04:00 UTC

arXiv cs.LGAdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters ↗TODAY 04:00 UTC