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RISE: Recursive Improvement via Self-Extrapolating Policy Distillation research paper by Salesforce, 2026

Salesforce · Sep 4, 2026 · Training and scaling · 17 upvotes 3 weeks ago

Read on arXiv

What it shows

RISE improves language model post-training by recursively generating dense token-level supervision from the model's own reinforcement learning trajectory via self-extrapolation, avoiding external teachers.

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

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About this paper
Authors
Yang Li, Semih Yavuz, Shafiq Joty
arXiv
2609.05295 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
17 · Hugging Face
Lab
Salesforce · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
New paperAdded to the listSep 26, 2026today

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