@Alibaba_Qwen on Backlist

2 appearances on the backlist front page in the last 30 days.

38.

AgentWorldBench: 7-domain benchmark with ground-truth observations from real environments, constructed from 5 fro…

AgentWorldBench: 7-domain benchmark with ground-truth observations from real environments, constructed from 5 frontier model trajectories on 9 established benchmarks. Results: Qwen-AgentWorld-397B-A17B achieves the highest overall score (

by @Alibaba_Qwen (Qwen) · backlist 2026-06-24 · rubric 100.0

39.

Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal,…

Meet Qwen-AgentWorld — a native language world model that simulates 7 agent environments (MCP, Search, Terminal, SWE, Web, OS, Android) within a single model. Environment modeling is the training objective from day one, not a post-hoc ada

by @Alibaba_Qwen (Qwen) · backlist 2026-06-24 · rubric 100.0