Author

Zeming Wei

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#artificial intelligence May 2026

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces

This work presents SkillSafetyBench, a runnable benchmark for evaluating skill-facing safety failures, and suggests that agent safety depends not only on model-level alignment, but also on how agents interpret skills, trust workflow context, and act through executable environments.

Chang Jin, Anr'an W'ang, Zeming Wei et al. · arXiv.org · 11 citations · ⚡1

Replay-free Sequential Fine-tuning of Medical VLMs

The streamlined, replay-free approach proves highly effective on a new continual learning benchmark and a practical path toward building prehensive, continually-learning medical VLMs and advancing the development of medical AI.

Hefei Li, Yuhui Zhang, Xiaohan Wang et al. · 0 citations