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News/FOCUS: DLLMs Know How to Tame Their Compute Bound
arxiv
PublishedJune 11, 2026 at 4:00 AM
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FOCUS: DLLMs Know How to Tame Their Compute Bound

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arXiv:2601.23278v2 Announce Type: replace-cross Abstract: Diffusion Large Language Models (DLLMs) offer a compelling alternative to Auto-Regressive models, but their deployment is constrained by high decoding cost. In this work, we identify a key inefficiency in DLLM decoding: while computation is p

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