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Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients research paper by NVIDIA, 2026

NVIDIA · Jun 16, 2026 · Agents and evaluation · 2 citations · 64 upvotes · unverified

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What it shows

Zone of Proximal Policy Optimization (ZPPO) improves knowledge distillation by using reformulated prompts that help students learn from both correct and incorrect responses, enhancing performance especially at smaller model sizes.

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

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About this paper
Authors
Byung-Kwan Lee, Ximing Lu, Shizhe Diao and 8 more
arXiv
2606.18216 · PDF
Venue
arXiv.org
Citations
2, 0 influential · Semantic Scholar
Upvotes
64 · Hugging Face
Lab
NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 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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