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The unreasonable effectiveness of few-shot learning for machine translation., , , , , , , and . CoRR, (2023)Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation., , , , , , , and . AAAI, page 8854-8861. AAAI Press, (2020)Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, , , , , , , , , and 2 other author(s). (2016)cite arxiv:1611.04558.Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents., , , , , and . ACL (1), page 4176-4192. Association for Computational Linguistics, (2022)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , and 17 other author(s). EMNLP (Findings), page 1856-1884. Association for Computational Linguistics, (2023)Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model., , , , , , and . INTERSPEECH, page 1123-1127. ISCA, (2019)Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, , , , , , , , , and 21 other author(s). (2016)cite arxiv:1609.08144.MergeDistill: Merging Language Models using Pre-trained Distillation., , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 2874-2887. Association for Computational Linguistics, (2021)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)Mu2SLAM: Multitask, Multilingual Speech and Language Models., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 5504-5520. PMLR, (2023)