Papers with Contrastive Language-Image Pre-Training
MemeDetoxNet: Balancing Toxicity Reduction and Context Preservation (2025.findings-acl)
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| Challenge: | Toxic memes spread harmful and offensive content and pose a significant challenge in online environments. |
| Approach: | They propose a framework to mitigate toxicity in toxic memes by leveraging a set of pre-trained models that can interpret the visual and textual components of memes. |
| Outcome: | The proposed framework reduces toxicity on publicly available meme datasets by 10-20% compared to the previous methods. |