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 sh
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miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning was first seen on Hugging Face · Daily papers on Oct 27, 2026. Since then it appeared in 3 hourly checks across 1 day, peaking at #21 on Oct 27, 13:28 UTC. It is #21 on the list right now.
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