@inproceedings{gu-etal-2024-cmr,
    title = "{CMR} Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models",
    author = "Gu, Jiawei  and
      Yang, Zacc  and
      Ding, Chuanghao  and
      Zhao, Rui  and
      Tan, Fei",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.emnlp-main.903/",
    doi = "10.18653/v1/2024.emnlp-main.903",
    pages = "16143--16162"
}