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TeaForN: Teacher-Forcing with N-grams., , and . EMNLP (1), page 8704-8717. Association for Computational Linguistics, (2020)ALBERT: A Lite BERT for Self-supervised Learning of Language Representations, , , , , and . (Sep 26, 2019)PreSTU: Pre-Training for Scene-Text Understanding., , , , , , and . ICCV, page 15224-15234. IEEE, (2023)PaLI: A Jointly-Scaled Multilingual Language-Image Model., , , , , , , , , and 19 other author(s). CoRR, (2022)Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning., , , and . ACL (1), page 2556-2565. Association for Computational Linguistics, (2018)Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task., , , and . CoRR, (2016)PaLI-3 Vision Language Models: Smaller, Faster, Stronger., , , , , , , , , and 9 other author(s). CoRR, (2023)PreSTU: Pre-Training for Scene-Text Understanding., , , , , , and . CoRR, (2022)Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning., , , , and . NeurIPS, page 29506-29516. (2021)PaLI: A Jointly-Scaled Multilingual Language-Image Model., , , , , , , , , and 10 other author(s). ICLR, OpenReview.net, (2023)