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GUI is a bridge connecting user and application. Existing GUI testing tasks can be categorized into two groups: functionality testing and compatibility testing. While the functionality testing focuses on detecting application runtime bugs,…

Software Engineering · Computer Science 2022-12-29 Jiaming Ye , Mulong Xie , Siyuan Chen , Fuyuan Zhang , Lei Ma , Zhenchang Xing , Jianjun Zhao

Personalized mobile agents that infer user preferences and calibrate proactive assistance hold great promise as everyday digital assistants, yet existing benchmarks fail to capture what this requires. Prior work evaluates preference…

The recent progress of large language model agents has opened new possibilities for automating tasks through graphical user interfaces (GUIs), especially in mobile environments where intelligent interaction can greatly enhance usability.…

The paper introduces GUI-Owl-1.5, the latest native GUI agent model that features instruct/thinking variants in multiple sizes (2B/4B/8B/32B/235B) and supports a range of platforms (desktop, mobile, browser, and more) to enable cloud-edge…

The Graphical User Interface (GUI) is how users interact with mobile apps. To ensure it functions properly, testing engineers have to make sure it functions as intended, based on test requirements that are typically written in natural…

Software Engineering · Computer Science 2024-07-15 Yongxiang Hu , Xuan Wang , Yingchuan Wang , Yu Zhang , Shiyu Guo , Chaoyi Chen , Xin Wang , Yangfan Zhou

Graphical User Interface (GUI) agents have gained substantial attention due to their impressive capabilities to complete tasks through multiple interactions within GUI environments. However, existing agents primarily focus on enhancing the…

Computation and Language · Computer Science 2025-05-28 Qinzhuo Wu , Pengzhi Gao , Wei Liu , Jian Luan

Recently, Multimodal Large Language Models (MLLMs) have been used as agents to control keyboard and mouse inputs by directly perceiving the Graphical User Interface (GUI) and generating corresponding commands. However, current agents…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Dongping Chen , Yue Huang , Siyuan Wu , Jingyu Tang , Liuyi Chen , Yilin Bai , Zhigang He , Chenlong Wang , Huichi Zhou , Yiqiang Li , Tianshuo Zhou , Yue Yu , Chujie Gao , Qihui Zhang , Yi Gui , Zhen Li , Yao Wan , Pan Zhou , Jianfeng Gao , Lichao Sun

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 spanning the full spectrum of sizes, including 2B, 8B, 32B,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-29 Hanzhang Zhou , Xu Zhang , Panrong Tong , Jianan Zhang , Liangyu Chen , Quyu Kong , Chenglin Cai , Chen Liu , Yue Wang , Jingren Zhou , Steven Hoi

Whole Slide Image (WSI) classification is often formulated as a Multiple Instance Learning (MIL) problem. Recently, Vision-Language Models (VLMs) have demonstrated remarkable performance in WSI classification. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Hao Li , Ying Chen , Yifei Chen , Wenxian Yang , Bowen Ding , Yuchen Han , Liansheng Wang , Rongshan Yu

Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-specific integrations. Despite recent…

Artificial Intelligence · Computer Science 2026-05-01 Jinbiao Wei , Kangqi Ni , Yilun Zhao , Guo Gan , Arman Cohan

LLM-based agents score well on search benchmarks, yet real users consistently find results unsatisfying, revealing a persistent evaluation-experience gap. We attribute this gap to existing benchmarks' reliance on over-specified queries,…

Computation and Language · Computer Science 2026-05-28 Xiaohongshu Inc

E-commerce risk management requires aggregating diverse, deeply embedded web data through multi-step, stateful interactions, which traditional scraping methods and most existing Graphical User Interface (GUI) agents cannot handle. These…

Artificial Intelligence · Computer Science 2026-04-14 Renqi Chen , Zeyin Tao , Jianming Guo , Jingzhe Zhu , Yiheng Peng , Qingqing Sun , Tianyi Zhang , Shuai Chen

Graphical User Interface (GUI) agents show promising capabilities for automating computer-use tasks and facilitating accessibility, but existing interactive benchmarks are mostly English-only, covering web-use or Windows, Linux, and Android…

Artificial Intelligence · Computer Science 2025-10-21 Pei Yang , Hai Ci , Mike Zheng Shou

The limitation of graphical user interface (GUI) data has been a significant barrier to the development of GUI agents today, especially for the desktop / computer use scenarios. To address this, we propose an automated GUI data generation…

Computation and Language · Computer Science 2025-03-17 Yibin Xu , Liang Yang , Hao Chen , Hua Wang , Zhi Chen , Yaohua Tang

Graphical User Interface (GUI) Agents, benefiting from recent advances in multimodal large language models (MLLM), have achieved significant development. However, due to the frequent updates of GUI applications, adapting to new tasks…

Machine Learning · Computer Science 2026-03-10 Zhenquan Yao , Zitong Huang , Yihan Zeng , Jianhua Han , Hang Xu , Chun-Mei Feng , Jianwei Ma , Wangmeng Zuo

Multimodal large language models (MLLMs) have markedly expanded the competence of graphical user-interface (GUI) systems, propelling them beyond controlled simulations into complex, real-world environments across diverse platforms. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Bin Lei , Nuo Xu , Ali Payani , Mingyi Hong , Chunhua Liao , Yu Cao , Caiwen Ding

The rapid advancement of multimodal large language models (MLLMs) has profoundly impacted the document domain, creating a wide array of application scenarios. This progress highlights the need for a comprehensive benchmark to evaluate these…

Computation and Language · Computer Science 2025-05-23 Siqi Li , Yufan Shen , Xiangnan Chen , Jiayi Chen , Hengwei Ju , Haodong Duan , Song Mao , Hongbin Zhou , Bo Zhang , Bin Fu , Pinlong Cai , Licheng Wen , Botian Shi , Yong Liu , Xinyu Cai , Yu Qiao

Block-based programming environments such as Scratch play a central role in low-code education, yet evaluating the capabilities of AI agents to construct programs through Graphical User Interfaces (GUIs) remains underexplored. We introduce…

Artificial Intelligence · Computer Science 2026-02-12 Xingyi Zhang , Yulei Ye , Kaifeng Huang , Wenhao Li , Xiangfeng Wang

Visual grounding is the task of localising image regions from natural language queries and is critical for reasoning capable Graphical User Interface agents. Many existing methods rely on massive, noisy synthetic datasets. This work…

Artificial Intelligence · Computer Science 2025-11-17 Georgios Pantazopoulos , Eda B. Özyiğit

Graphical User Interface (GUI) provides a visual bridge between a software application and end users, through which they can interact with each other. With the upgrading of mobile devices and the development of aesthetics, the visual…

Software Engineering · Computer Science 2022-05-30 Zhe Liu , Chunyang Chen , Junjie Wang , Yuekai Huang , Jun Hu , Qing Wang