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DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding

arXiv cs.AI · yesterday Cached

Proposes DC-Leap, a training-free framework that accelerates diffusion large language models by introducing dynamic contiguous verification and draft-guided decoding, achieving up to 105× speedup with comparable generation quality.

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