@inproceedings{gong-etal-2024-llmc,
    title = "{LLMC}: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit",
    author = "Gong, Ruihao  and
      Yong, Yang  and
      Gu, Shiqiao  and
      Huang, Yushi  and
      Lv, Chengtao  and
      Zhang, Yunchen  and
      Tao, Dacheng  and
      Liu, Xianglong",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.emnlp-industry.12/",
    doi = "10.18653/v1/2024.emnlp-industry.12",
    pages = "132--152"
}