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A Survey on Diffusion Language Models

Tianyi Li, Mingda Chen, Bowei Guo, Zhiqiang Shen
Jun 5, 2026 at 04:00
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arXiv:2508.10875v3 Announce Type: replace-cross Abstract: Diffusion Language Models (DLMs) are rapidly emerging as a powerful and promising alternative to the dominant autoregressive (AR) paradigm. By generating tokens in parallel through an iterative denoising process, DLMs possess inherent advantages in reducing inference latency and capturing...

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