Papers › Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA

Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA

14 Nov 2022arXiv:2211.07516archive 2025-07-28

Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme

Natural language is ambiguous. Resolving ambiguous questions is key to successfully answering them. Focusing on questions about images, we create a dataset of ambiguous examples. We annotate these, grouping answers by the underlying question they address and rephrasing the question for each group to reduce ambiguity. Our analysis reveals a linguistically-aligned ontology of reasons for ambiguity in visual questions. We then develop an English question-generation model which we demonstrate via automatic and human evaluation produces less ambiguous questions. We further show that the question generation objective we use allows the model to integrate answer group information without any direct supervision.

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esteng/ambiguous_vqa officialmentioned in paperpytorchMIT report

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Question GenerationQuestion-GenerationVisual Question Answering (VQA)

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Ambiguous VQA

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