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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

, , , and . NAACL-HLT (1), page 4149-4158. Association for Computational Linguistics, (2019)

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Findings of the 2021 Conference on Machine Translation (WMT21)., , , , , , , , , and 26 other author(s). WMT@EMNLP, page 1-88. Association for Computational Linguistics, (2021)ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning., , , , , , , , and . CoRR, (2018)ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning., , , , , , , , and . AAAI, page 3027-3035. AAAI Press, (2019)UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark., , , and . AAAI, page 13480-13488. AAAI Press, (2021)Extracting Scientific Figures with Distantly Supervised Neural Networks., , , and . JCDL, page 223-232. ACM, (2018)Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task., , , , , , , , , and 5 other author(s). CoRR, (2024)CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge., , , and . CoRR, (2018)Show Your Work with Confidence: Confidence Bands for Tuning Curves., , and . CoRR, (2023)Learning from Task Descriptions., , , and . EMNLP (1), page 1361-1375. Association for Computational Linguistics, (2020)Show Your Work with Confidence: Confidence Bands for Tuning Curves., , and . NAACL-HLT, page 3455-3472. Association for Computational Linguistics, (2024)