Hateful Meme Detection: Leveraging PVLMs for Zero-shot VQA Probing
2024-4-26 23:20:10 Author: hackernoon.com(查看原文) 阅读量:1 收藏

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This study explores using pre-trained vision-language models (PVLMs) for hateful meme detection without fine-tuning, showcasing BERT's superiority and introducing PromptHate with probe-captioning. Limitations include heuristic probing question usage, suggesting future directions for optimization and deeper interpretation using gradient-based approaches.


文章来源: https://hackernoon.com/hateful-meme-detection-leveraging-pvlms-for-zero-shot-vqa-probing?source=rss
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