**摘要**
Diffusion and flow-based models have become the de facto approaches for generating continuous data, e.g., in domains such as images and videos. Their success has attracted growing interest in applying them to language modeling. Unlike their image-domain counterparts, today's leading diffusion language models (DLMs) primarily operate over discrete tokens. In this paper, we show that continuous DLMs
👤 作者: Keya Hu, Linlu Qiu, Yiyang Lu, Hanhong Zhao, Tianhong Li, Yoon Kim, Jacob Andreas, Kaiming He

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🔗 **[ELF ：嵌入式语言流](https://arxiv.org/abs/2605.10938v1)**

> ELF: Embedded Language Flows
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-05-13 08:00