Hateful Meme Classification On Harm P

Accuracy

Results

Performance results of various models on this benchmark

			Paper Title
LMM-RGCL (Qwen2-VL-7B)	91.6	91.1	Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
ExplainHM	90.7	90.7	Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
RGCL	89.9	89.5	Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
hateclipper	87.6	86.9	Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
CLIP	80.6	80.3	Learning Transferable Visual Models From Natural Language Supervision

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