Jiao Shan
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LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents
According to the abstract, Xiaoyuan Bao, Jingsi Jiang, Jiao Shan and colleagues introduce LeakBench, an audit suite testing whether clinical-modeling agents use inputs unavailable at prediction time. They report DeepSeek Flash and GPT-6-astra each leaked in 10 of 10 unconstrained runs, but not with an explicit constraint; a Claude chat run did not leak.