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Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

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学术前沿 5.2 分 — 中等质量:常规学术论文,有适度参考价值
原文: cs.AI updates on arXiv.org

评分 5.2 · 来源:cs.AI updates on arXiv.org · 发布于 2026-04-14

评分依据:中等质量:常规学术论文,有适度参考价值

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

arXiv:2601.15593v2 Announce Type: replace-cross Abstract: Masked Diffusion Language Models (MDLMs) promise parallel token generation and arbitrary-order decoding, yet it remains unclear to what extent current models truly realize these capabilities. We characterize MDLM behavior along two dimensions — parallelism strength and generation order — using Average Finalization Parallelism (AFP) and Kendall’s tau. We evaluate eight mainstream MDLMs (up to 100B parameters) on 58 benchmarks spanning…