@inproceedings{song-etal-2026-optimer,
    title = "{O}pti{M}er: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training",
    author = "Song, Haiyue  and
      Vu, Huy Hien  and
      Utiyama, Masao",
    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.1090/",
    doi = "10.18653/2026.emnlp-main.1090",
    pages = "25034--25054",
    ISBN = "979-8-89176-459-0"
}