Author

Yi-Fan Sun

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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

#natural language process... Preprint Sep 2026

Cascade: Hierarchical Recoverability Control for Large Language Model Unlearning

Cascade is proposed, a hierarchical recoverability control framework that minimizes the internal identifiability of target knowledge and effectively reduces recoverability while maintaining stable model utility.

Qing-Chen Yu, Shi-Ying Duan, Xiao-Dong Li et al. · 0 citations

Preprint Jul 2026

Understanding Reasoning from Pretraining to Post-Training

A quantitative account of the pretraining-to-RL interface and a controlled testbed for studying the science of reasoning across the full pretraining-to-post-training pipeline is provided.

Jingyan Shen, Ang Li, Salman Rahman et al. · 0 citations