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Yu He

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#artificial intelligence Review Sep 2026

How Good Are Frontier Models at Physics? Expert Re-Grading Reveals Broken Evaluations and Near-Saturation of Leading Benchmarks

Evaluating frontier models on six widely used physics benchmarks and auditing them with experts suggests that current benchmarks substantially understate frontier models'ability to solve well-posed physics problems.

Ali Ansari, Hao-Ran Sun, Andy Zeyi Liu et al. · 0 citations
Preprint Aug 2026

Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization

Environment-Regularized Policy Optimization (ERPO) replaces the standard Policy-KL regularizer while achieving effective control over query distribution drift, delivering stronger accuracy and substantially more stable behavior under high-temperature decoding and long-horizon training.

Xianlei Zhou, Xiangdi Meng, Yu He et al. · 0 citations

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