@inproceedings{hong-etal-2026-view,
    title = "View-R1: Asymmetric Policy Optimization for Difficulty-Aware Multimodal Reinforcement Learning",
    author = "Hong, Minjie  and
      Guo, Zirun  and
      Zhang, Jiabao  and
      Wang, Zehan  and
      Zhang, Ziang  and
      Jin, Tao  and
      Zhao, Zhou",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.1538/",
    pages = "30791--30803",
    ISBN = "979-8-89176-395-1"
}