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QeRL, a quantization-enhanced reinforcement learning framework, accelerates RL training for large language models by combining NVFP4 quantization with Low-Rank Adaptation and an Adaptive Quantization Noise mechanism, achieving significant speedups and improved performance.
By Wei Huang, Yi Ge, Shuai Yang and 11 more · arXiv 2510.11696 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- arXiv.org
- Citations
- 27, 2 influential · Semantic Scholar
- Upvotes
- 183 · Hugging Face
- Lab
- NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
Citations rose from 21 to 27.
Citations rose from 19 to 21.
Citations rose from 17 to 19.
A first count of 2 influential citations.
A first count of 17 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.