Papers by Keng Ji Chow

1 papers
TraVLR: Now You See It, Now You Don’t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning (2023.eacl-main)

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Challenge: Existing visio-linguistic (V+L) models do not represent visual and linguistic concepts in a unified space.
Approach: They propose to use cross-modal transfer to evaluate the extent to which visio-linguistic (V+L) representations are represented in a unified space.
Outcome: The proposed evaluation settings include cross-modal transfer and a global accuracy score on the entire dataset making the specific sources of success and failure difficult to diagnose.

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