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City University of Hong Kong
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Attention-guided denoising can dramatically enhance reasoning performance in diffusion language models, outperforming traditional post-training methods.
Current agents are alarmingly susceptible to skill-based attacks, with success rates reaching over 86%, exposing a critical vulnerability in AI safety.
