Qwen Introduces Language World Models For General Agents

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Tanishq Mathew Abraham, Ph.D.@iScienceLuvr

blog: https://qwen.ai/blog?id=qwen-agentworld code: https://github.com/QwenLM/Qwen-AgentWorld huggingface: https://huggingface.co/collections/Qwen/qwen-agentworld abs: https://arxiv.org/abs/2606.24597

Tanishq Mathew Abraham, Ph.D.@iScienceLuvr

Qwen-AgentWorld: Language World Models for General Agents

"We introduce Qwen-AgentWorld-35B-A3B and QwenAgentWorld-397B-A17B, the first language world models capable of simulating agentic environments covering 7 domains via long chain-of-thought reasoning."

"We explore two complementary strategies for applying world modeling to enhance language agents (mainly using the 35B-A3B model as agent): Decouple and Unify , where the world model serves as the environment simulator and agent foundation model, respectively."

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