 Citation If you find the technical report or resource is useful, please cite the following technical report in your paper. - https://aclanthology.org/2022.naacl-industry.8/ ``` @inproceedings{li-etal-2022-easy,     title = "Easy and Efficient Transformer: Scalable Inference Solution For Large {NLP} Model",     author = "Li, Gongzheng  and       Xi, Yadong  and       Ding, Jingzhen  and       Wang, Duan  and       Luo, Ziyang  and       Zhang, Rongsheng  and       Liu, Bai  and       Fan, Changjie  and       Mao, Xiaoxi  and       Zhao, Zeng",     booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track",     month = jul,     year = "2022",     address = "Hybrid: Seattle, Washington + Online",     publisher = "Association for Computational Linguistics",     url = "https://aclanthology.org/2022.naacl-industry.8",     doi = "10.18653/v1/2022.naacl-industry.8",     pages = "62--68" }  ``` 