Author

Yaohua Tang

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Preprint Aug 2026

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation

This work introduces LEAP (Lean Environment-Feedback via Adaptive Pruning), a scalable and computationally efficient multi-turn RL framework optimized for low-level hardware accelerator alignment and proposes a Rank-Based Reward formulation, establishing a practical paradigm for low-level code RL.

Tankun Li, Zhi Chen, Yaohua Tang · 0 citations

Preprint Jul 2026

Beyond the Best Teacher: Expanding and Compressing the Reasoning Solution Manifold

Strong students can be obtained not by selecting a single better teacher, but by deliberately constructing and compressing a complementary teacher union, in an expand-then-compress framework that couples teacher construction with multi-teacher policy distillation.

Songshuo Lu, Zhi Chen, Yaohua Tang · 0 citations