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Xuanhua Ren

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MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning

MedPRMBench is introduced, a step-level medical reasoning benchmark with 14 clinical error types, including five new and two clinically re-scoped types, and rule-defined severity grades, and the training signal replicates across model families.

Ling-Yan Wu, Xiang-Xiang Zheng, Wei-Qi Zhai et al. · 2 citations
Preprint Aug 2026

Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on Frontier Science Benchmarks

Solution Hacking is identified, a failure mode in which an LLM reaches the correct answer through invalid shortcuts, such as numerical search, enumeration, guessing, or answer-first verification, without providing a valid task-targeted derivation.

Xuanhua Ren, Weiqi Zhai, Tianle Pu et al. · 0 citations

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