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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)ByT5: Towards a token-free future with pre-trained byte-to-byte models., , , , , , , and . CoRR, (2021)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)XTREME-S: Evaluating Cross-lingual Speech Representations., , , , , , , , , and 9 other author(s). INTERSPEECH, page 3248-3252. ISCA, (2022)Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech., and . INLG, page 91-96. Association for Computational Linguistics, (2020)Text-to-Text Pre-Training for Data-to-Text Tasks., and . INLG, page 97-102. Association for Computational Linguistics, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation., , , and . CoRR, (2020)mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer., , , , , , , and . NAACL-HLT, page 483-498. Association for Computational Linguistics, (2021)Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension., , , and . INLG, page 35-45. Association for Computational Linguistics, (2021)