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Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task.

, , , and . EMNLP (Findings), page 5914-5924. Association for Computational Linguistics, (2022)

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'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks., , , , , , and . CoRR, (2021)Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks., , , , , , , , , and 30 other author(s). CoRR, (2022)CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images., , , and . NAACL-HLT, page 3692-3709. Association for Computational Linguistics, (2021)Learning Action-Effect Dynamics from Pairs of Scene-graphs., , , and . CoRR, (2022)Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks., , , , , , , , , and 25 other author(s). EMNLP, page 5085-5109. Association for Computational Linguistics, (2022)Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task., , , and . EMNLP (Findings), page 5914-5924. Association for Computational Linguistics, (2022)Reasoning about Actions over Visual and Linguistic Modalities: A Survey., , , , and . CoRR, (2022)'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks., , , , , , and . EACL, page 2766-2771. Association for Computational Linguistics, (2021)Visuo-Lingustic Question Answering (VLQA) Challenge., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4606-4616. Association for Computational Linguistics, (2020)