@inproceedings{zhu-etal-2026-ce,
    title = "{CE}-{GAD}: Curriculum-Efficient On-Policy Adversarial Distillation of Large Language Models",
    author = "Zhu, Wenhui  and
      Sang, Hejian  and
      Chen, Xiwen  and
      Wang, Zhipeng  and
      Mohajer Hamidi, Shayan  and
      Yu, Han  and
      Wang, Jingjing  and
      Xu, Yuanda  and
      Dong, Xuanzhao  and
      Zhou, Zhengze  and
      He, Ran  and
      Markovic-Voronov, Jelena  and
      Behdin, Kayhan  and
      Ghosh, Sayan  and
      Geramifard, Alborz",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EMNLP} 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-emnlp.843/",
    pages = "17827--17836",
    ISBN = "979-8-89176-462-0"
}