这两年，扩散语言模型（Diffusion LLM）一直是个很有讨论度的方向。 和传统自回归模型不同，扩散模型不是严格按从左到右一个 token 一个 token 往外吐，它在生成方式上更灵活，也天然更适合并行建模。可问题也一直摆在那里：这条路很有潜力 ...

这项由上海交通大学邓志杰教授团队领导的研究发表于2025年1月，论文题为《Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing》。

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