Papers by Yusuke Mukuta

1 papers
Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought (2024.findings-naacl)

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Challenge: Existing methods for generating humorous captions are generic and do not capture the content of images.
Approach: They propose a framework that generates content-specific resolutions from fine details extracted from an image and integrates logit bias and negative sampling to suppress the output of generic resolutions.
Outcome: The proposed framework generates humorous captions tailored to the content of specific input images.

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