Papers by Piush Aggarwal
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models? (2024.findings-eacl)
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| Challenge: | Existing studies show that only the textual component of hateful memes enables the multimodal classifier to generalize across domains while the image component proves highly sensitive to a specific training dataset. |
| Approach: | They propose to use only the textual component of hateful memes to generalize across different domains while the image component is highly sensitive to a specific training dataset. |
| Outcome: | The proposed model performs similarly to hate-meme classifiers in a zero-shot setting, while the introduction of meme’s image captions worsens performance by an average F1 of 0.02. |