@inproceedings{jiang-etal-2022-omnitab,
    title = "{O}mni{T}ab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering",
    author = "Jiang, Zhengbao  and
      Mao, Yi  and
      He, Pengcheng  and
      Neubig, Graham  and
      Chen, Weizhu",
    editor = "Carpuat, Marine  and
      de Marneffe, Marie-Catherine  and
      Meza Ruiz, Ivan Vladimir",
    booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jul,
    year = "2022",
    address = "Seattle, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.naacl-main.68/",
    doi = "10.18653/v1/2022.naacl-main.68",
    pages = "932--942"
}