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Qwen-AgentWorld: Language World Models for General Agents research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Jun 23, 2026 · Agents and evaluation · 9 citations · 165 upvotes · unverified

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What it shows

Language-based world models enable agentic environment simulation across multiple domains and enhance general agent performance through scalable simulation and improved downstream task performance.

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

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About this paper
Authors
Yuxin Zuo, Zikai Xiao, Li Sheng and 30 more
arXiv
2606.24597 · PDF
Venue
arXiv.org
Citations
9, 1 influential · Semantic Scholar
Upvotes
165 · Hugging Face
Code
github.com/QwenLM/Qwen-AgentWorld
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 9Sep 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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