Junjie Huang

Agent-World reveals that self-evolving environments can dramatically boost agent performance, outperforming established models by leveraging dynamic task synthesis.

Counterintuitively, simply smoothing boundary probabilities in a localized manner can dramatically improve annotation-free skin lesion segmentation, rivaling supervised methods on some datasets.