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TeaForN: Teacher-Forcing with N-grams., , and . EMNLP (1), page 8704-8717. Association for Computational Linguistics, (2020)Multi-Image Summarization: Textual Summary from a Set of Cohesive Images., , , , and . CoRR, (2020)Multi-stage Pretraining for Abstractive Summarization., , and . CoRR, (2019)PaLI: A Jointly-Scaled Multilingual Language-Image Model., , , , , , , , , and 19 other author(s). CoRR, (2022)PaLI-X: On Scaling up a Multilingual Vision and Language Model., , , , , , , , , and 33 other author(s). CoRR, (2023)Scaling Up Models and Data with t5x and seqio., , , , , , , , , and 33 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)ALBERT: A Lite BERT for Self-supervised Learning of Language Representations, , , , , and . (Sep 26, 2019)CausalLM is not optimal for in-context learning., , , , and . CoRR, (2023)PreSTU: Pre-Training for Scene-Text Understanding., , , , , , and . ICCV, page 15224-15234. IEEE, (2023)