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Reinforcement Learning with Verifiable Rewards (RLVR) improves large language models by updating a limited set of parameters, which is explained by a Three-Gate Theory, revealing distinct optimization dynamics compared to supervised fine-tuning.
By Hanqing Zhu, Zhenyu Zhang, Hanxian Huang and 11 more · arXiv 2511.08567 · PDF
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- arXiv.org
- Citations
- 65, 6 influential · Semantic Scholar
- Upvotes
- 37 · Hugging Face
- Lab
- Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
Influential citations rose from 5 to 6.
Citations rose from 56 to 65.
Citations rose from 55 to 56.
Citations rose from 49 to 55.
A first count of 5 influential citations.
A first count of 49 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.