Papers with unimodal baseline models

1 papers
What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge (2022.acl-srw)

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Challenge: Existing evaluation methods to measure what language models learn from multimodal training are lacking.
Approach: They propose two evaluation tasks to measure commonsense knowledge in language models by using visual data to evaluate multimodal models and unimodal baselines.
Outcome: The proposed evaluation tasks show that training on a visual modality improves on the visual commonsense knowledge in language models.

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