Papers by Ishan Gaur

1 papers
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation (2024.findings-acl)

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Challenge: Recent work reveals that vision and language models struggle to comprehend fine grained distinctions in images.
Approach: They propose a dataset to assess multimodal models' ability to match objects with their colors.
Outcome: The proposed model performs well in visual questionanswering, text-to-image generation and word-order understanding tasks.

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