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Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning research paper by ServiceNow, 2026

ServiceNow · Apr 2, 2026 · Reasoning · 12 upvotes 5 months ago

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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.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Rafael Pardinas, Ehsan Kamalloo, David Vazquez and 1 more
arXiv
2604.02007 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
12 · Hugging Face
Lab
ServiceNow · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

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New paperAdded to the listSep 26, 2026today

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