@inproceedings{harada-etal-2025-massive,
    title = "Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape {LLM} Alignment Quality",
    author = "Harada, Yuto  and
      Yamauchi, Yusuke  and
      Oda, Yusuke  and
      Oseki, Yohei  and
      Miyao, Yusuke  and
      Takagi, Yu",
    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/author-page-yu-wang-polytechnic/2025.emnlp-main.1138/",
    doi = "10.18653/v1/2025.emnlp-main.1138",
    pages = "22371--22392",
    ISBN = "979-8-89176-332-6"
}