SOTAVerified

Hateful Meme Classification

Hateful meme classification aims to detect harmful content within the text or images of memes.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 17 papers

TitleStatusHype
Learning Transferable Visual Models From Natural Language SupervisionCode2
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme ClassificationCode1
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language ModelsCode1
Improving Hateful Meme Detection through Retrieval-Guided Contrastive LearningCode1
Mapping Memes to Words for Multimodal Hateful Meme ClassificationCode1
Decoding the Underlying Meaning of Multimodal Hateful MemesCode1
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP FeaturesCode1
LLM-based Semantic Augmentation for Harmful Content Detection—0
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions—0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.