Author

Shenzhe Zhu

2 papers indexed here

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Review Jul 2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

System prompts are instructions configured by developers to govern the behaviors of foundation models in AI applications. They are used throughout commercial AI products, but are rarely disclosed to the public or regulators, creating a serious trust and accountability gap in the wide deployment of AI systems. In this p...

Xiangning Lin, Shenzhe Zhu, Shu Yang et al. · arXiv.org · 0 citations

#artificial intelligence Jun 2026

DOG-DPO:Dynamic Optimization in Geometry for Safety Alignment

DOG-DPO is proposed, a training-free data selection framework that treats preference pairs as structured geometric signals and recovers most of the safety gains of full-data training while remaining entirely teacher-free, training-free, and substantially faster than representative selection baselines.

Yi Nian, Tiankai Yang, Yudi Zhang et al. · arXiv.org · 1 citation