Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection
Published in EMNLP 2025 Main (Oral)
We propose a robust adaptation approach for large multimodal models in retrieval-augmented hateful meme detection. Our method effectively leverages retrieved examples to improve detection performance while maintaining robustness against noisy retrievals.
Recommended citation: J. Mei, J. Chen, G. Yang, W. Lin, B. Byrne. "Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection." EMNLP 2025 Main (Oral).