DC-Leap: training-free acceleration of dLLMs via draft-guided contiguous leaping decoding
Read the original at arxiv.org→arXiv:2607.20467v1 Announce Type: new Abstract: While parallel decoding is central to the efficiency of Diffusion Large Language Models (dLLMs), current strategies are often hindered by overly conservative...
Original headline: "DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding"
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- Jul 24, 04:00 UTC arXiv cs.AI lead source DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding