arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
Publisher summary· verbatim
arXiv:2607.12829v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) offer a theoretical advantage in parallel generation over standard autoregressive models. However, parallel generation alone does not guarantee practical speedups. Realizing this efficiency requires specialized
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Originally published on arxiv ↗