@inproceedings{gehrmann-etal-2022-gemv2, title = "{GEM}v2: Multilingual {NLG} Benchmarking in a Single Line of Code", author = "Gehrmann, Sebastian and Bhattacharjee, Abhik and Mahendiran, Abinaya and Wang, Alex and Papangelis, Alexandros and Madaan, Aman and Mcmillan-major, Angelina and Shvets, Anna and Upadhyay, Ashish and Bohnet, Bernd and Yao, Bingsheng and Wilie, Bryan and Bhagavatula, Chandra and You, Chaobin and Thomson, Craig and Garbacea, Cristina and Wang, Dakuo and Deutsch, Daniel and Xiong, Deyi and Jin, Di and Gkatzia, Dimitra and Radev, Dragomir and Clark, Elizabeth and Durmus, Esin and Ladhak, Faisal and Ginter, Filip and Winata, Genta Indra and Strobelt, Hendrik and Hayashi, Hiroaki and Novikova, Jekaterina and Kanerva, Jenna and Chim, Jenny and Zhou, Jiawei and Clive, Jordan and Maynez, Joshua and Sedoc, Jo{\~a}o and Juraska, Juraj and Dhole, Kaustubh and Chandu, Khyathi Raghavi and Beltrachini, Laura Perez and Ribeiro, Leonardo F . R. and Tunstall, Lewis and Zhang, Li and Pushkarna, Mahim and Creutz, Mathias and White, Michael and Kale, Mihir Sanjay and Eddine, Moussa Kamal and Daheim, Nico and Subramani, Nishant and Dusek, Ondrej and Liang, Paul Pu and Ammanamanchi, Pawan Sasanka and Zhu, Qi and Puduppully, Ratish and Kriz, Reno and Shahriyar, Rifat and Cardenas, Ronald and Mahamood, Saad and Osei, Salomey and Cahyawijaya, Samuel and {\v{S}}tajner, Sanja and Montella, Sebastien and Jolly, Shailza and Mille, Simon and Hasan, Tahmid and Shen, Tianhao and Adewumi, Tosin and Raunak, Vikas and Raheja, Vipul and Nikolaev, Vitaly and Tsai, Vivian and Jernite, Yacine and Xu, Ying and Sang, Yisi and Liu, Yixin and Hou, Yufang", editor = "Che, Wanxiang and Shutova, Ekaterina", booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations", month = dec, year = "2022", address = "Abu Dhabi, UAE", publisher = "Association for Computational Linguistics", url = "https://preview.aclanthology.org/fix-sig-urls/2022.emnlp-demos.27/", doi = "10.18653/v1/2022.emnlp-demos.27", pages = "266--281" }