Papers with low-resource harmful

1 papers
Towards Low-Resource Harmful Meme Detection with LMM Agents (2024.emnlp-main)

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Challenge: Existing methods for harmful meme detection are limited due to the dynamic nature of memes . eliciting knowledge-revising behavior within the LMM agent is a key factor in achieving this goal .
Approach: They propose an agency-driven framework for low-resource harmful meme detection . they use annotated memes to leverage label information as auxiliary signals for model .
Outcome: The proposed framework achieves superior performance than state-of-the-art methods on the low-resource harmful meme detection task.

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