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Author

Jun Gao

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Preprint Oct 2026

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

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 awareness, and decision-cu...

Xiao-Yuan Bao, Jing-Si Jiang, Shan Jiao et al. · 0 citations
Preprint Aug 2026

HarnessEval-W: Agentifying the Evaluation of Visual Worlds

This work introduces HarnessEval-W, an agentified evaluation pipeline that brings the harness paradigm from the LLM ecosystem to world model benchmarking, and applies HarnessEval-W to 18 representative world models over 330 evaluation cases.

Wei-Liang Chen, Haowen Sun, Jun Gao et al. · 3 citations
Preprint Aug 2026

Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning

Experiments show that Code-as-World-VL achieves state-of-the-art performance on QuantiPhy and surpasses leading proprietary models, highlighting the potential of executable world representations as a scalable foundation for physical intelligence.

Han-Yang Wang, Yiyang Cai, Wei-Liang Chen et al. · 16 citations · ⚡2

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