Hateful Meme Classification
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Benchmarks
Most implemented
Learning Transferable Visual Models From Natural Language Supervision
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Prompt-enhanced Network for Hateful Meme Classification
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
Papers
LLM-based Semantic Augmentation for Harmful Content Detection
Recent advances in large language models (LLMs) have demonstrated strong performance on simple text classification tasks, frequently under zero-shot settings. However, their efficacy declines when tackling complex social…
ClassificationHateful Meme ClassificationMeme ClassificationPropaganda detection+2Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Hateful memes have become a significant concern on the Internet, necessitating robust automated detection systems. While LMMs have shown promise in hateful meme detection, they face notable challenges like sub-optimal pe…
Contrastive LearningDomain GeneralizationHateful Meme ClassificationIn-Context Learning+2Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
Hateful meme detection presents a significant challenge as a multimodal task due to the complexity of interpreting implicit hate messages and contextual cues within memes. Previous approaches have fine-tuned pre-trained …
Hateful Meme ClassificationMeme ClassificationPrompt-enhanced Network for Hateful Meme Classification
The dynamic expansion of social media has led to an inundation of hateful memes on media platforms, accentuating the growing need for efficient identification and removal. Acknowledging the constraints of conventional mu…
ClassificationContrastive LearningHateful Meme ClassificationLanguage Modelling+2MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
The complexity of text-embedded images presents a formidable challenge in machine learning given the need for multimodal understanding of multiple aspects of expression conveyed by them. While previous research in multim…
ClassificationHateful Meme ClassificationHumor DetectionMeme ClassificationTowards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, …
Hateful Meme ClassificationLanguage ModellingSmall Language ModelText Generation