Papers by Daehee Kim

1 papers
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models (2023.emnlp-main)

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Challenge: Recent advances in Large Language Models (LLMs) have stimulated a surge of research aimed at extending their applications to the visual domain.
Approach: They propose a novel neural architecture to enhance language-image understanding capability of LLMs by capturing intricate details that are often overlooked in existing methods.
Outcome: The proposed model can achieve better comprehension of language information in visual contexts within images.

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