DA-DLM: Explicitly Modeling Token Dependencies in Diffusion Language Models

方法与贡献

通过按输出位置组织的候选组和已确定 token 构成的锚点，把有向无环图依赖建模用于迭代扩散。

把非自回归翻译中的结构化输出建模直接迁移到扩散去噪。

结合主题阅读

结构化解码：高阶 CRF、扩散语言模型与候选格 →

引用

Pengyu Ji, Zichen Zhang, Xiang Hu, Kewei Tu. DA-DLM: Explicitly Modeling Token Dependencies in Diffusion Language Models. EMNLP 2026.

@inproceedings{ji2026dadlm,
  title = {{DA-DLM: Explicitly Modeling Token Dependencies in Diffusion Language Models}},
  author = {Ji, Pengyu and Zhang, Zichen and Hu, Xiang and Tu, Kewei},
  year = {2026},
  booktitle = {EMNLP 2026},
  url = {https://aclanthology.org/2026.emnlp-main.2094/},
  eprint = {2609.15070},
  archivePrefix = {arXiv},
  doi = {10.18653/2026.emnlp-main.2094}
}