@inproceedings{xu-etal-2026-edubench,
    title = "{E}du{B}ench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios",
    author = "Xu, Bin  and
      Bai, Yu  and
      Sun, Huashan  and
      Lin, Yiguan  and
      Liu, Siming  and
      Liang, Xinyue  and
      Li, Yaolin  and
      Dong, Zhuangzhi  and
      Zhang, Jingren  and
      Deng, Yufan  and
      Zou, Xinyu  and
      Gao, Yang  and
      Huang, Heyan",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-long.987/",
    pages = "21615--21645",
    ISBN = "979-8-89176-390-6"
}