@inproceedings{lu-etal-2025-versatune,
    title = "{V}ersa{T}une: An Efficient Data Composition Framework for Training Multi-Capability {LLM}s",
    author = "Lu, Keer  and
      Zhao, Keshi  and
      Zhang, Zhuoran  and
      Liang, Zheng  and
      Cui, Bin  and
      Wang, Tengjiao  and
      Zhang, Wentao",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.337/",
    pages = "6645--6669",
    ISBN = "979-8-89176-332-6"
}