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arXiv AI By Lewen Yan, Yanxu Zhu, Jie Zhang, Jing Shao

OwlSight: A Panoramic Monitor for Chain-of-Thought Reasoning

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OwlSight is a new chain‑of‑thought (CoT) monitoring system that uses a customizable Factor strategy to adapt to a wide range of tasks and monitoring needs. By incorporating fine‑grained and coarse‑grained factors, OwlSight can detect specific behaviors such as email leakage or broader privacy concerns across multiple dimensions like capability, safety, and trustworthiness. Experiments on 15,971 reasoning trajectories show that OwlSight outperforms general‑purpose LLMs by 1.32‑30.57 points at fine granularity and 11.71‑27.81 points at coarse granularity, achieving state‑of‑the‑art results on OpenAI’s CoT monitorability benchmark and demonstrating robustness to model changes, factor rephrasings, CoT compression, and obfuscation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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