@inproceedings{chu-etal-2025-uniedu,
    title = "{U}ni{EDU}: Toward Unified and Efficient Large Multimodal Models for Educational Tasks",
    author = "Chu, Zhendong  and
      Xie, Jian  and
      Wang, Shen  and
      Wang, Zichao  and
      Wen, Qingsong",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.68/",
    pages = "1007--1016",
    ISBN = "979-8-89176-333-3"
}