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Online Experiential Learning for Language Models research paper by Microsoft, 2026

Microsoft · Mar 17, 2026 · Training and scaling · 21 citations · 61 upvotes · unverified

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What it shows

Online Experiential Learning enables continuous improvement of language models through deployment experience by extracting and consolidating experiential knowledge via on-policy distillation.

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

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About this paper
Authors
Tianzhu Ye, Li Dong, Qingxiu Dong and 3 more
arXiv
2603.16856 · PDF
Venue
arXiv.org
Citations
21, 3 influential · Semantic Scholar
Upvotes
61 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 3Sep 25, 2026
Citationsfirst count: 21Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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