Author

Ming-Fa Feng

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Preprint Oct 2026

miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning

Native NVFP4 promises to accelerate reinforcement learning (RL) for large language models (LLMs), but achieving stable learning across separate training and sampling engines remains challenging. We show that matching model weights and numerical formats is insufficient to ensure consistent policy evaluation, highlightin...

Zhen Li, Ming-Fa Feng, Yi-Ming Zhang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

TRIAGE: Direction-Aware Mismatch Stabilization of Native NVFP4 Reinforcement Learning

This paper characterize the interaction between mismatch and the policy-gradient direction, distinguishing locally amplifying from contracting update contributions that mismatch magnitude alone cannot identify and introduces TRIAGE, a direction-aware stabilization method that uses segment-level diagnosis to selectively...

Zhen Li, Shuai Zhang, Yang-Gan Gu et al. · 0 citations