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LeakBench: Auditing Reward Hacking through Prediction-Time Leakage in Clinical Modeling Agents

Bao, Xiaoyuan et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learning
Autonomous clinical-modeling agents can optimize predictive performance while violating conditions that make a model usable. We introduce LeakBench, an executable, guideline-derived audit suite that tests agent decisions for prediction-time leakage, calibration, site-level evaluation, support awaren
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