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Group Sequence Policy Optimization research paper by Alibaba (Qwen), 2025

Alibaba (Qwen) · Jul 24, 2025 · Inference and efficiency · 688 citations · 323 upvotes · unverified

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What it shows

Group Sequence Policy Optimization (GSPO) is a reinforcement learning algorithm that improves training efficiency and performance of large language models by using sequence-level importance ratios and operations.

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

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About this paper
Authors
Chujie Zheng, Shixuan Liu, Mingze Li and 9 more
arXiv
2507.18071 · PDF
Venue
arXiv.org
Citations
688, 64 influential · Semantic Scholar
Upvotes
323 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 64Sep 25, 2026
Citationsfirst count: 688Sep 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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