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AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters
Speculative decoding, in which a lightweight draft model first generates a draft sequence that is then verified by the target model, has become a prevalent paradigm for accelerating large language model inference. Recent work such as DFlash further boosts drafting efficiency by leveraging diffusion
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