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Text-to-Text Pre-Training for Data-to-Text Tasks.. CoRR, (2020)ByT5: Towards a token-free future with pre-trained byte-to-byte models., , , , , , , и . CoRR, (2021)MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling., и . IWSDS, том 704 из Lecture Notes in Electrical Engineering, стр. 279-288. Springer, (2020)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , и 17 other автор(ы). EMNLP (Findings), стр. 1856-1884. Association for Computational Linguistics, (2023)Few-Shot Natural Language Generation by Rewriting Templates., и . CoRR, (2020)mT5: A massively multilingual pre-trained text-to-text transformer, , , , , , , и . (2020)cite arxiv:2010.11934.Improving Compositional Generalization with Self-Training for Data-to-Text Generation., , , , , и . ACL (1), стр. 4205-4219. Association for Computational Linguistics, (2022)nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?, , , , , и . ACL/IJCNLP (2), стр. 683-691. Association for Computational Linguistics, (2021)Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation., , , и . CoRR, (2020)Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks., , , , , и . CoRR, (2019)