AINeutralarXiv – CS AI · 7h ago6/10
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DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference
Researchers introduce DepCap, a training-free framework that optimizes diffusion language model (DLM) inference through adaptive block-wise parallel decoding. The method achieves up to 5.63× speedup by using cross-step signals to determine block boundaries and identifying conflict-free token subsets for safe parallel execution, maintaining quality while significantly accelerating inference.