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AsyncLane: Decoupling Refinement from Advancement in Diffusion Language Model Decoding

arXiv:2606.08411v1 Announce Type: new Abstract: Block-wise semi-autoregressive decoding is the standard inference paradigm for diffusion large language models (DLMs), but it imposes a strict dependency between blocks: the next block cannot begin until the current block is fully decoded or its denoising budget is exhausted. We observe that once a block exposes a reliable delimiter boundary or stable semantic prefix, continuation generation need not wait for every residual token to be...

arXiv CS 1d ago