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MedICaT: A Dataset of Medical Images, Captions, and Textual References.

, , , , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2112-2120. Association for Computational Linguistics, (2020)

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Global Reasoning over Database Structures for Text-to-SQL Parsing., , and . EMNLP/IJCNLP (1), page 3657-3662. Association for Computational Linguistics, (2019)Diverse Demonstrations Improve In-context Compositional Generalization., , and . ACL (1), page 1401-1422. Association for Computational Linguistics, (2023)Training Vision-Language Models with Less Bimodal Supervision., , and . AKBC, (2022)Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data., , and . CoRR, (2021)Evaluating Models' Local Decision Boundaries via Contrast Sets., , , , , , , , , and 16 other author(s). EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1307-1323. Association for Computational Linguistics, (2020)Evaluating NLP Models via Contrast Sets., , , , , , , , , and 16 other author(s). CoRR, (2020)Unobserved Local Structures Make Compositional Generalization Hard., , and . EMNLP, page 2731-2747. Association for Computational Linguistics, (2022)Obtaining Faithful Interpretations from Compositional Neural Networks., , , , , , and . ACL, page 5594-5608. Association for Computational Linguistics, (2020)Language Generation with Recurrent Generative Adversarial Networks without Pre-training., , , , and . CoRR, (2017)Grammar-based Neural Text-to-SQL Generation., , , , and . CoRR, (2019)