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Fixing confirmation bias in feature attribution methods via semantic match., , , , , , , and . CoRR, (2023)Probing Cross-Modal Representations in Multi-Step Relational Reasoning., , , and . RepL4NLP@ACL-IJCNLP, page 152-162. Association for Computational Linguistics, (2021)Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision., , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2751-2767. Association for Computational Linguistics, (2020)Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision., , and . VL@ACL, The Association for Computer Linguistics, (2016)Asking questions with a big impact: Adapting to other interpretations of gradable adjectives., and . CogSci, cognitivesciencesociety.org, (2020)Linguistic issues behind visual question answering., and . Lang. Linguistics Compass, (2021)Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze., , , and . EMNLP (1), page 4664-4677. Association for Computational Linguistics, (2020)Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision., , and . NAACL-HLT, page 419-430. Association for Computational Linguistics, (2018)Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind., , , , and . ACL (Findings), page 4198-4217. Association for Computational Linguistics, (2023)The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models., , and . EMNLP, page 5817-5830. Association for Computational Linguistics, (2023)