Author

Dingmin Wang

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#machine learning Preprint Oct 2026

Reward-Aligned Distillation

Reinforcement learning with verifiable rewards improves the reasoning capabilities of large language models, but remains computationally expensive and sample inefficient. On-policy distillation (OPD) provides dense token-level supervision from a stronger teacher, yet standard OPD distills every token regardless of whet...

Yilan Chen, Zian Su, Manish Prajapat et al. · 0 citations

Preprint Aug 2026

AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL

This work proposes AHEAD, a step-aware framework that matches different supervision sources to different step types and solves tasks within tighter interaction budgets than outcome-only RL and prior self-distillation baselines.

Xiaolong Jin, Dingmin Wang, Vijay Lingam et al. · 1 citation