Author

Naicheng Yu

2 papers indexed here

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#artificial intelligence Mar 2026

MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models

MonitorBench is proposed, a systematic benchmark for evaluating CoT monitorability in LLMs and provides a basis for further research on AI control, reasoning faithfulness, stress-test monitorability, and monitoring scaffords.

Han Wang, Yi-Fan Sun, Brian Ko et al. · arXiv.org · 7 citations

#artificial intelligence Preprint Sep 2026

Can LLMs Discover Scientific Laws in Real and Parallel Worlds?

It is found that predictive fit can diverge from scientific validity, memorization shapes whether models reproduce or move beyond published formulas, and the best-of-N study reveals a selection bottleneck.

Yi-Ming Huang, Zi-Chen Liu, Junxia Cui et al. · 2 citations