AI RESEARCH
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
arXiv CS.AI
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ArXi:2605.27901v1 Announce Type: cross Chain-of-thought (CoT) monitoring has been proposed as a promising safety mechanism for detecting misaligned behavior in large language models. However, its reliability remains largely unexplored beyond English and across diverse model families. We present the first large-scale evaluation of CoT monitorability across 13 diverse languages and seven frontier model families, comprising 16 models.