Papers by Qidong Yan

1 papers
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models (2024.acl-long)

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Challenge: Multimodal large language models have demonstrated promising results in a variety of tasks that combine vision and language.
Approach: They propose a benchmark to assess the ability of models to use contextual information in free-form text to enhance visual comprehension.
Outcome: The proposed model fails to extract and utilize contextual information to improve understanding of images.

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