DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding

方法与贡献

结合扩散草稿生成、token 候选格上的 Causal-consistency Path Search，以及自适应草稿长度。

把候选格路径选择与对并行扩散提议的自回归验证相连接。

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

Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang. DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding. Findings of ACL 2026.

@inproceedings{li2026diffuspec,
  title = {{DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding}},
  author = {Li, Guanghao and Fu, Zhihui and Fang, Min and Zhao, Qibin and Tang, Ming and Yuan, Chun and Wang, Jun},
  year = {2026},
  booktitle = {Findings of ACL 2026},
  url = {https://aclanthology.org/2026.findings-acl.1048/},
  doi = {10.18653/v1/2026.findings-acl.1048}
}