@inproceedings{luo-etal-2026-hydra,
    title = "{H}y{DRA}: Hyperbolic Damage-aware Recovery and Adaptation for Robust Multimodal Sentiment Analysis with Incomplete Data",
    author = "Luo, Yun  and
      He, Zejiang  and
      Huang, Zhen  and
      Tian, Zhiliang  and
      Ma, Yanzhou  and
      Lu, Menglong  and
      Huang, Jingyuan  and
      Liu, Shanshan  and
      Wu, Faying  and
      Li, Dongsheng",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.2492/",
    pages = "56575--56603",
    ISBN = "979-8-89176-459-0"
}