Author

Suhyune Son

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Jul 2026

Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models

This work shows that training a strong instruction-tuned reasoning model on its own answer-conditioned chains sharply lowers its verifiable-reasoning accuracy, and generates answer-blind data, because no correctness filter can see this damage in the data.

Jungseob Lee, Seungyoon Lee, Suhyune Son et al. · arXiv.org · 0 citations