@inproceedings{yang-etal-2023-empower,
    title = "Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering",
    author = "Yang, Fangkai  and
      Zhao, Pu  and
      Wang, Zezhong  and
      Wang, Lu  and
      Qiao, Bo  and
      Zhang, Jue  and
      Garg, Mohit  and
      Lin, Qingwei  and
      Rajmohan, Saravan  and
      Zhang, Dongmei",
    editor = "Wang, Mingxuan  and
      Zitouni, Imed",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2023.emnlp-industry.29/",
    doi = "10.18653/v1/2023.emnlp-industry.29",
    pages = "294--312"
}