Towards explainable harmful meme detection through multimodal debate between Large Language Models

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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Bibliographic Details
Main Authors: LIN, Hongzhan, LUO, Ziyang, GAO, Wei, MA, Jing, WANG, Bo, YANG, Ruichao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
harmful meme detection
explainability
multimodal debate
LLMs
Artificial Intelligence and Robotics
Numerical Analysis and Scientific Computing
Social Media
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

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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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