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MiQA: A Benchmark for Inference on Metaphorical Questions.

, , and . AACL/IJCNLP (2), page 373-381. Association for Computational Linguistics, (2022)

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WinoDict: Probing language models for in-context word acquisition., , , and . CoRR, (2022)Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour., , , and . AACL/IJCNLP (2), page 210-220. Association for Computational Linguistics, (2022)DePlot: One-shot visual language reasoning by plot-to-table translation., , , , , , , , , and . ACL (Findings), page 10381-10399. Association for Computational Linguistics, (2023)TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training., , and . SemEval@ACL/IJCNLP, page 423-430. Association for Computational Linguistics, (2021)Understanding tables with intermediate pre-training., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 281-296. Association for Computational Linguistics, (2020)MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering., , , , , , , , and . CoRR, (2022)Leveraging Data Recasting to Enhance Tabular Reasoning., , , and . EMNLP (Findings), page 4483-4496. Association for Computational Linguistics, (2022)WinoDict: Probing language models for in-context word acquisition., , , and . EACL, page 94-102. Association for Computational Linguistics, (2023)DiffQG: Generating Questions to Summarize Factual Changes., , , , , and . EACL, page 3080-3093. Association for Computational Linguistics, (2023)Time-Aware Language Models as Temporal Knowledge Bases., , , , , and . CoRR, (2021)