@inproceedings{yu-etal-2024-freeeval,
    title = "{F}ree{E}val: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models",
    author = "Yu, Zhuohao  and
      Gao, Chang  and
      Yao, Wenjin  and
      Wang, Yidong  and
      Zeng, Zhengran  and
      Ye, Wei  and
      Wang, Jindong  and
      Zhang, Yue  and
      Zhang, Shikun",
    editor = "Hernandez Farias, Delia Irazu  and
      Hope, Tom  and
      Li, Manling",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.emnlp-demo.1/",
    doi = "10.18653/v1/2024.emnlp-demo.1",
    pages = "1--13"
}