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Author

Di Wang

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Review Jul 2026

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

A user-centric framework for systematically auditing system prompts in AI systems, AISPA is introduced, a user-centric framework for systematically auditing system prompts in AI systems that examines specific parts of a system prompt and evaluates them along eight dimensions that matter to users.

Xiangning Lin, Shenzhe Zhu, Shu Yang et al. · 0 citations
Jul 2026

SelfMem: Self-Optimizing Memory for AI Agents

SelfMem provides an environment with memory tools and feedback signals that allow the agent to explore, evaluate, and refine its own memory strategy, following the principle of teaching an agent to fish rather than giving it a fish.

Shu Yang, Junchao Wu, Derek F. Wong et al. · 2 citations

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