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
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
MedPIC-Bench makes conditional rule application measurable and highlights the limitations of static medication-safety accuracy for assessing patient-specific reliability among medical-specific LLMs, whose average CF performance trails that of general LLMs.
Zhitian Hou, Yuhang Liu, Peng-Kai Wang et al.· 0 citations
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