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ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models., , , , , , , and . Trans. Assoc. Comput. Linguistics, (2022)Universal Sentence Encoder., , , , , , , , , and 3 other author(s). CoRR, (2018)Transfer Learning for Text Diffusion Models., , , , and . CoRR, (2024)Character-Aware Models Improve Visual Text Rendering., , , , , , , , , and . CoRR, (2022)FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation., , , , , , , , , and 1 other author(s). CoRR, (2023)Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?, , , , , , , , , and 20 other author(s). CoRR, (2023)Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension., , , and . CoRR, (2020)mT5: A massively multilingual pre-trained text-to-text transformer, , , , , , , and . (2020)cite arxiv:2010.11934.Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models., , , , , , , , , and 31 other author(s). CoRR, (2023)SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer., , , , and . CoRR, (2021)