Author

Hai-Yang Xu

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#artificial intelligence May 2026

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents

This paper proposes ToolCUA, an end-to-end agent designed to learn optimal GUI-Tool path selection through a staged training paradigm, and introduces an Interleaved GUI-Tool Trajectory Scaling Pipeline that repurposes abundant static GUI trajectories and synthesizes a grounded tool library, enabling diverse GUI-Tool tr...

Xuhao Hu, Xi Zhang, Hai-Yang Xu et al. · arXiv.org · 9 citations · ⚡4

#natural language process... Review Sep 2026

RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

This work introduces RecreationWorld, a five-platform framework built around recreation: given a running reference, an agent must discover its behavior and build a faithful implementation with no prescribed workflow, and introduces RecreationBench, comprising 250 diverse tasks across domains and platforms.

Shuai Bai, Jia-Yong Deng, Si-Cheng Fan et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Benchmarking General Mobile Assistants in Challenging Real-World Scenarios

GMA is presented, a benchmark for evaluating general mobile assistants in challenging real-world scenarios, and shows that appropriate harness design can meaningfully improve performance, particularly on demanding workflows, while the effectiveness of specific designs can vary across foundation models.

Yi-Qi Zhu, Feiyu Gao, Jiakang Fan et al. · 0 citations