Reasoning Models Improve by Updating Low-Probability Tokens Without Teachers
burkov · x · 2026-09-02
Research finds that while teacher model feedback is often noisy, student models still improve. The benefit stems mainly from suppressing tokens the student deems unlikely. The proposed On-Policy Self-Adaptation (OPSA) method focuses updates on these low-probability tokens, achieving similar gains without a teacher.
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