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Reading Books is Great, But Not if You Are Driving! Visually Grounded Reasoning about Defeasible Commonsense Norms.

, , , , , , , and . EMNLP, page 894-914. Association for Computational Linguistics, (2023)

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Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity., , and . WWW, page 927-936. ACM, (2017)Reframing Human-AI Collaboration for Generating Free-Text Explanations., , , , and . CoRR, (2021)Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization., , , , , , , and . CoRR, (2022)FunQA: Towards Surprising Video Comprehension., , , , , , , and . CoRR, (2023)UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations., , , , , , , , and . CoRR, (2023)OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models., , , , , , , , , and 6 other author(s). CoRR, (2023)How effective is BERT without word ordering? Implications for language understanding and data privacy., and . ACL/IJCNLP (2), page 204-211. Association for Computational Linguistics, (2021)Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!, and . EMNLP (1), page 861-877. Association for Computational Linguistics, (2020)CLIPScore: A Reference-free Evaluation Metric for Image Captioning., , , , and . EMNLP (1), page 7514-7528. Association for Computational Linguistics, (2021)Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text., , , , , , , , , and . CoRR, (2023)