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Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 7480-7512. PMLR, (2023)"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification., , , , and . CoRR, (2021)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). CoRR, (2023)Autoregressive Diffusion Models., , , , , and . CoRR, (2021)Graph Convolutional Encoders for Syntax-aware Neural Machine Translation., , , , and . EMNLP, page 1957-1967. Association for Computational Linguistics, (2017)Diagnosing AI Explanation Methods with Folk Concepts of Behavior., , , , and . CoRR, (2022)Parameter-Efficient Multilingual Summarisation: An Empirical Study., , , , , and . CoRR, (2023)Dissecting Recall of Factual Associations in Auto-Regressive Language Models., , , and . EMNLP, page 12216-12235. Association for Computational Linguistics, (2023)"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification., , , , and . EMNLP, page 976-991. Association for Computational Linguistics, (2022)Joey NMT: A Minimalist NMT Toolkit for Novices., , and . EMNLP/IJCNLP (3), page 109-114. Association for Computational Linguistics, (2019)