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

arXiv:2610.23928v1 Announce Type: cross Abstract: 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 ma

arXiv cs.AIResearch source·