Papers by Nandita Naik
CommVQA: Situating Visual Question Answering in Communicative Contexts (2024.emnlp-main)
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| Challenge: | Current visual question answering models are trained on image-question pairs in isolation, but the questions people ask are dependent on their informational needs and prior knowledge about the image content. |
| Approach: | They propose a visual question-answer-as-question dataset that contains 1000 images and 8,949 question-announcer pairs to evaluate how situating images within naturalistic contexts shapes visual questions. |
| Outcome: | The proposed dataset contains 1000 images and 8,949 question-answer pairs. |