@inproceedings{zhu-etal-2026-llms-consume,
    title = "How Should {LLM}s Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws",
    author = "Zhu, Zhitao  and
      Wang, Xili  and
      Wu, Shizhe  and
      Fu, Jiawei  and
      Liu, Xiaoqing",
    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.241/",
    pages = "5499--5528",
    ISBN = "979-8-89176-459-0"
}