Papersby GlyphOn the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation research paper by Alibaba (Qwen), 2026
Alibaba (Qwen) · Reasoning · Mar 23, 2026 · 16 citations · 29 upvotes · unverified
What it shows
Reinforcement learning with verifiable rewards improves language model reasoning by focusing on the direction of parameter updates rather than their magnitude, enabling better test-time extrapolation and training-time reweighting methods.
By Kexin Huang, Haoming Meng, Junkang Wu and 10 more · arXiv 2603.22117 · PDF · Code
UnverifiedHugging Face's summary; not yet checked by hand.
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About this paper
- Venue
- arXiv.org
- Citations
- 16, 1 influential · Semantic Scholar
- Upvotes
- 29 · Hugging Face
- Lab
- Alibaba (Qwen) · on Companies · on Quarterly
Changes
Citations rose from 15 to 16.
Citations rose from 13 to 15.
A first count of 1 influential citations.
A first count of 13 citations.
Found by the weekly Hugging Face scan; not yet checked by hand.