Papersby GlyphApriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning research paper by ServiceNow, 2026
ServiceNow · Reasoning · Apr 2, 2026 · 0 citations · 12 upvotes
What it shows
Apriel-Reasoner is a 15B-parameter language model trained with reproducible multi-domain reinforcement learning to improve reasoning efficiency and accuracy across diverse tasks while reducing inference costs.
By Rafael Pardinas, Ehsan Kamalloo, David Vazquez and 1 more · arXiv 2604.02007 · PDF
Hugging Face's summary; not yet checked by hand.
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About this paper
- Citations
- 0, 0 influential · Semantic Scholar
- Upvotes
- 12 · Hugging Face
- Lab
- ServiceNow · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
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