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TopicsAI Capability Evaluation Chain-of-Thought Prompting LLM Prompt Sensitivity

On GPQA questions requiring chain-of-thought reasoning, disguising the reasoning topic substantially reduces model accuracy.

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https://arxiv.org/pdf/2507.05246 Untraced · nothing upstream recorded

Our experiments in the GPQA domain suggest that models cannot easily obscure the topic of their reasoning without significantly degrading their performance.

https://arxiv.org/pdf/2507.05246extraction 0.80

Section 5.6 conclusion on encoding/disguise instructions for CoT-necessary GPQA questions.

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