Papers by Zhongda Qi

1 papers
GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree (2023.emnlp-main)

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Challenge: Existing models that use plain HTMLs do not include crucial visual information in the rendered web.
Approach: They propose a Gestalt Enhanced Markup Language Model for hosting visual information without visual input.
Outcome: The proposed model can handle multiple downstream tasks without visual input.

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