@inproceedings{jiang-etal-2026-flowtrain,
    title = "{F}low{T}rain: Flow-Based Decoupled Training for Industrial-Grade Vision-Language Models",
    author = "Jiang, Zhida  and
      Xing, Zhaolong  and
      Yang, Pei  and
      Chen, Xiaolong  and
      Xiao, Yuanhang  and
      Huang, Chengzhi  and
      Liu, Xiyu  and
      Liu, Haopeng  and
      Sang, Qingyuan  and
      Zhou, Lingfeng  and
      Wang, Jiaxing  and
      Zhang, Zicheng  and
      Wang, Wenzhe  and
      Liuxinyu  and
      Li, Yan  and
      Chen, Zhen  and
      Zhang, Ke",
    editor = "Atanasova, Pepa  and
      Haffari, Gholamreza  and
      Wang, Minghan",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-industry.101/",
    pages = "1754--1764",
    ISBN = "979-8-89176-460-6"
}