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PaLI: A Jointly-Scaled Multilingual Language-Image Model.

, , , , , , , , , , , , , , , , , , , и . ICLR, OpenReview.net, (2023)

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Другие публикации лиц с тем же именем

TeaForN: Teacher-Forcing with N-grams., , и . EMNLP (1), стр. 8704-8717. Association for Computational Linguistics, (2020)PaLI: A Jointly-Scaled Multilingual Language-Image Model., , , , , , , , , и 19 other автор(ы). CoRR, (2022)Multi-Image Summarization: Textual Summary from a Set of Cohesive Images., , , , и . CoRR, (2020)Multi-stage Pretraining for Abstractive Summarization., , и . CoRR, (2019)Scaling Up Models and Data with t5x and seqio., , , , , , , , , и 33 other автор(ы). CoRR, (2022)PaLI-X: On Scaling up a Multilingual Vision and Language Model., , , , , , , , , и 33 other автор(ы). CoRR, (2023)Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning., , , и . ACL (1), стр. 2556-2565. Association for Computational Linguistics, (2018)ALBERT: A Lite BERT for Self-supervised Learning of Language Representations, , , , , и . (26.09.2019)CausalLM is not optimal for in-context learning., , , , и . CoRR, (2023)PreSTU: Pre-Training for Scene-Text Understanding., , , , , , и . ICCV, стр. 15224-15234. IEEE, (2023)