Papers by Kaiwei Deng

1 papers
MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection (2025.acl-long)

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Challenge: a rapid expansion of memes on social media highlights the need for effective methods to detect harmful content.
Approach: They propose a multi-agent framework for zero-shot harmful meme detection that does not rely on annotated data.
Outcome: The proposed framework outperforms existing zero-shot approaches on three meme datasets.

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