@inproceedings{yang-etal-2026-immersivecfl,
    title = "{I}mmersive{CFL}: Multi-Agent Learning Path Generation for Scenario-Oriented {C}hinese Language Learning",
    author = "Yang, Shanghui  and
      Wu, Zhixuan  and
      Zeng, Yanan  and
      He, Feixiang  and
      Wang, Chunyang  and
      Qian, Weining",
    editor = "Agrawal, Sweta  and
      Abad, Alberto",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-demos.75/",
    pages = "796--805",
    ISBN = "979-8-89176-461-3"
}