Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
Published in ACL 2024 Main
We propose RGCL, a retrieval-guided contrastive learning framework for hateful meme detection. By retrieving similar memes and using them as contrastive examples, our model learns more discriminative representations for distinguishing hateful from benign memes.
Recommended citation: J. Mei, J. Chen, W. Lin, B. Byrne, M. Tomalin. "Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning." ACL 2024 Main.
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