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Author

Alex Pentland

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#machine learning Review Sep 2026

Reward Hacking Challenges Oversight of Autonomous Research Agents

How often models reward-hack without instructions to do so, how effective and detectable their methods are when hacking is allowed, and how they adapt when an LLM review panel returns its decision and reasons are studied.

Yue Huang, Zhangchen Xu, Yu-Chen Ma et al. · 1 citation
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. · 0 citations

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