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Zhengyang Tang

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#machine learning Preprint Oct 2026

RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments

General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we introduce RobotWorld, a challenging simulation testbed for robot use: turning instructions and observations into physic...

Zhiqin Yang, Chen-Xin Li, Xiao-Meng Hu et al. · 0 citations
Review Jul 2026

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

This report presents HyMobileAgent, a mobile GUI agent built on Hy3.0-VL-A3B, a vision-native foundation model featuring native any-resolution input, an A3B-scale deployment budget, and a 32K context window to model extended interaction histories.

H. Team, Hua-Wen Shen, Zheng-Yang Tang et al. · 2 citations · ⚡1
Jul 2026

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents

JarvisHub is introduced, a canvas-native creative agent harness for long-horizon multimodal creation, where agents can progressively plan, generate, revise, and organize multimodal projects while users remain able to inspect, guide, and intervene throughout the process.

Yunlong Lin, Zixu Lin, Zhaohu Xing et al. · 1 citation

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