@inproceedings{lei-etal-2022-plato,
    title = "{PLATO}-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning",
    author = "Lei, Zeyang  and
      Zhang, Chao  and
      Xu, Xinchao  and
      Wu, Wenquan  and
      Niu, Zheng-yu  and
      Wu, Hua  and
      Wang, Haifeng  and
      Yang, Yi  and
      Li, Shuanglong",
    editor = "Li, Yunyao  and
      Lazaridou, Angeliki",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.emnlp-industry.52/",
    doi = "10.18653/v1/2022.emnlp-industry.52",
    pages = "512--520"
}