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mT5: A massively multilingual pre-trained text-to-text transformer, , , , , , , and . (2020)cite arxiv:2010.11934.Dialect-robust Evaluation of Generated Text., , , , , , , , and . ACL (1), page 6010-6028. Association for Computational Linguistics, (2023)nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?, , , , , and . ACL/IJCNLP (2), page 683-691. Association for Computational Linguistics, (2021)Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages., , , and . NAACL-HLT, page 1126-1137. Association for Computational Linguistics, (2021)SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation., , , , , , , , , and . EMNLP, page 9397-9413. Association for Computational Linguistics, (2023)Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation., , , , , , , and . AAAI, page 8854-8861. AAAI Press, (2020)Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents., , and . AAAI, page 4959-4966. AAAI Press, (2019)Domain Adaptation of SRL Systems for Biological Processes., , , , , and . BioNLP@ACL, page 80-87. Association for Computational Linguistics, (2019)Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study., and . EMNLP, page 2904-2909. Association for Computational Linguistics, (2018)MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling., and . IWSDS, volume 704 of Lecture Notes in Electrical Engineering, page 279-288. Springer, (2020)