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mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer., , , , , , , and . NAACL-HLT, page 483-498. Association for Computational Linguistics, (2021)LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool., , , , , and . EMNLP (1), page 5919-5930. Association for Computational Linguistics, (2020)A finite volume method for stochastic integrate-and-fire models., , and . J. Comput. Neurosci., 26 (3): 445-457 (2009)Transfer Learning for Text Diffusion Models., , , , and . CoRR, (2024)ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models., , , , , , , and . Trans. Assoc. Comput. Linguistics, (2022)mT5: A massively multilingual pre-trained text-to-text transformer, , , , , , , and . (2020)cite arxiv:2010.11934.ByT5: Towards a token-free future with pre-trained byte-to-byte models., , , , , , , and . CoRR, (2021)Gemma: Open Models Based on Gemini Research and Technology., , , , , , , , , and 39 other author(s). CoRR, (2024)Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation., , , , , and . EMNLP, page 9279-9300. Association for Computational Linguistics, (2022)