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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.AI2026

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

Hanzhang Zhou, Panrong Tong, Xu Zhang +13

The paper introduces Qwen-UI-Agent, a foundation model for GUI agents that can operate across mobile, desktop, web, and search environments, combining GUI actions with CLI commands…

cs.CV2026

What Memory Do GUI Agents Really Need? From Passive Records to Active Task-Driving States

Chen Liu, Ling Chen, Hanzhang Zhou +7

Mobile GUI agents increasingly face long-horizon tasks that require reading, updating, and reusing task-relevant data across pages and applications. Existing methods treat memory l…

cs.CV2026

One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding

Chen Liu, Ling Chen, Hanzhang Zhou +5

MLLM-based GUI grounding methods commonly formulate target localization as autoregressive coordinate generation, enabling models to leverage the strong instruction-following and se…

cs.MA2026

FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems

Wenhao Wang, Haoting Shi, Mengying Yuan +7

Training GUI agents with traditional centralized methods faces significant cost and scalability challenges. Federated learning (FL) offers a promising solution, yet its potential i…

cs.CL2025

MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments

Quyu Kong, Xu Zhang, Zhenyu Yang +10

Among existing online mobile-use benchmarks, AndroidWorld has emerged as the dominant benchmark due to its reproducible environment and deterministic evaluation; however, recent ag…

cs.CV2025

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Hanzhang Zhou, Xu Zhang, Panrong Tong +8

The development of GUI agents could revolutionize the next generation of human-computer interaction. Motivated by this vision, we present MAI-UI, a family of foundation GUI agents…