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Northeastern University Shenyang
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HarmTrace reveals that fine-grained target identification can drastically improve harmful meme detection accuracy, closing a critical gap in multimodal AI understanding.
Achieving over 20% performance improvement in data-free knowledge distillation, UniDFKD eliminates reliance on architecture-specific priors, paving the way for more robust model training across diverse architectures.