arXiv — cs.AI preprintsInternational19 October 2026
The Reliance Hypothesis: Chain-of-Thought Faithfulness Rises as Language Resource Level Falls
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arXiv:2610.22841v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) faithfulness matters for monitoring, explaining and safely deploying large language models, yet it has been studied mostly in English. Languages differ in level, the amount of text available to learn from, so models know less in lower-resource languages, which may change how much they rely on their reasoning. To our knowledge, we are the first to relate CoT faithfulness to both resource level and task type (knowledge- or reasoning-intensive). On parallel multiple-choice questions from Multilingual Massive Multitask Langua
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