Towards explainable harmful meme detection through multimodal debate between Large Language Models
The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, which is not explicitly conveyed through the surface text and image. However, ex...
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| Main Authors: | , , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/9324 https://ink.library.smu.edu.sg/context/sis_research/article/10324/viewcontent/3589334.3645381_pvoa_cc_by.pdf |
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| Institution: | Singapore Management University |
| Language: | English |