@inproceedings{nguyen-etal-2023-vigptqa,
    title = "{V}i{GPTQA} - State-of-the-Art {LLM}s for {V}ietnamese Question Answering: System Overview, Core Models Training, and Evaluations",
    author = "Nguyen, Minh Thuan  and
      Tran, Khanh Tung  and
      Nguyen, Nhu Van  and
      Vu, Xuan-Son",
    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/add-emnlp-2024-awards/2023.emnlp-industry.70/",
    doi = "10.18653/v1/2023.emnlp-industry.70",
    pages = "754--764"
}