@inproceedings{ji-etal-2026-argus,
    title = "{ARGUS}: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring",
    author = "Ji, Deyi  and
      Lu, Junyu  and
      Liu, Xuanyi  and
      Liu, Liqun  and
      Zhang, Hailong  and
      Shu, Peng  and
      Yu, Huan  and
      Jiang, Jie  and
      Chen, Tianrun  and
      Zhu, Lanyun",
    editor = "Li, Yunyao  and
      Rehm, Georg  and
      Tu, Mei",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics ({ACL} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-industry.8/",
    pages = "99--112",
    ISBN = "979-8-89176-394-4"
}