Author

Chengxuan Qian

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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

Review Jul 2026

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Robotic learning takes place in dynamic environments with large behavior spaces. A terminal success signal only tells the robot whether the task is completed. It does not explain whether the current behavior is making progress, remaining unchanged, or undoing earlier progress. For this reason, recent studies have incre...

Jianshu Zhang, Keliang Wu, Haoran Lu et al. · arXiv.org · 1 citation