GEMv2 : Multilingual NLG Benchmarking in a Single Line of Code

Gehrmann, S, Bhattacharjee, A, Mahendiran, A, Wang, A, Papangelis, A, Madaan, A, McMillan-Major, A, Shvets, A, Upadhyay, A, Bohnet, B, Yao, B, Wilie, B, Bhagavatula, C, You, C, Thomson, C, Garbacea, C, Wang, D, Deutsch, D, Xiong, D, Jin, D, Gkatzia, D, Radev, D, Clark, E, Durmus, E, Ladhak, F, Ginter, F, Winata, G I, Strobelt, H, Hayashi, H, Novikova, J, Kanerva, J, Chim, J, Zhou, J, Clive, J, Maynez, J, Sedoc, J, Juraska, J, Dhole, K, Chandu, K R, Perez-Beltrachini, L, Ribeiro, L F R, Tunstall, L, Zhang, L, Pushkarna, M, Creutz, M, White, M, Kale, M S, Eddine, M K, Daheim, N, Subramani, N, Dusek, O, Liang, P P, Ammanamanchi, P S, Zhu, Q, Puduppully, R, Kriz, R, Shahriyar, R, Cardenas, R, Mahamood, S, Osei, S, Cahyawijaya, S, Štajner, S, Montella, S, Jolly, S, Mille, S, Hasan, T, Shen, T, Adewumi, T, Raunak, V, Raheja, V, Nikolaev, V, Tsai, V, Jernite, Y, Xu, Y, Sang, Y, Liu, Y & Hou, Y 2022, GEMv2 : Multilingual NLG Benchmarking in a Single Line of Code. in W Che & E Shutova (eds), EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing : Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), pp. 266-281, 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, 7/12/22. https://doi.org/10.18653/v1/2022.emnlp-demos.27
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