Author

Sangmin Bae

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#machine learning Preprint Sep 2026

Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation

On-Policy Reverse Distillation (OPRD), which evaluates the teacher's policy shift relative to its reference policy on student rollouts and amplifies the component of the student's verifier-driven policy gradient along that direction, and effectively combines verifier-driven policy optimization with teacher guidance reg...

Youngrok Park, Sangmin Bae, Hojung Jung et al. · 2 citations

Preprint Jul 2026

LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL

LLM-as-a-Tutor is introduced, a framework that extends the LLM's role from judge to tutor: a single model serves as an examiner that pairwise-compares policy rollouts to detect non-challenging prompts, and as a generator that appends atomic constraints to them.

Yujin Kim, Namgyu Ho, Sangmin Hwang et al. · 0 citations