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News/PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding
arxiv
PublishedMay 18, 2026 at 4:00 AM
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PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding

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arXiv:2605.15609v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) generate text by iteratively denoising masked token sequences. Although dLLMs can predict all masked positions in parallel within each step, the large number of denoising iterations still makes inference expensiv

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