@inproceedings{yu-etal-2026-spiralformer,
    title = "{S}piral{F}ormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion",
    author = "Yu, Chengting  and
      Shu, Xiaobo  and
      Wang, Yadao  and
      Zhang, Yizhen  and
      Wu, Haoyi  and
      Wu, You  and
      Long, Rujiao  and
      Chen, Ziheng  and
      Xu, Yuchi  and
      Su, Wenbo  and
      Zheng, Bo",
    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.1602/",
    pages = "36429--36451",
    ISBN = "979-8-89176-459-0"
}