Yuntao Du

Multi-agent collaboration in video anomaly understanding leads to a significant boost in detection and verification accuracy, outperforming traditional methods.

Knowledge hallucinations are the most significant hurdle for MLLMs, revealing critical weaknesses in their robustness to false premises.

Multimodal unlearning is effective in text but fails to translate to visual contexts, revealing critical gaps in current evaluation methods for VLMs.