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Mobile Graphical User Interface (GUI) agents powered by multimodal large language models have demonstrated promising capabilities in automating complex smartphone tasks. However, existing approaches face two critical limitations: the…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Yiping Xie , Song Chen , Jingxuan Xing , Wei Jiang , Zekun Zhu , Yingyao Wang , Pi Bu , Jun Song , Yuning Jiang , Bo Zheng

A central bottleneck for phone-use agents is that controllable, reproducible environments covering real mobile behavior are hard to build at scale. Existing mobile-agent benchmarks have made important progress on evaluation, but they do not…

Android Apps are frequently updated, every couple of weeks, to keep up with changing user, hardware and business demands. Correctness of App updates is checked through extensive testing. Recent research has proposed tools for automated GUI…

软件工程 · 计算机科学 2020-11-25 Chao Peng , Ajitha Rajan

Multimodal large language models (MLLMs) have made significant progress in mobile agent development, yet their capabilities are predominantly confined to a reactive paradigm, where they merely execute explicit user commands. The emerging…

Automated GUI testing is crucial in ensuring that presentation logic behaves as expected. However, existing tools often apply end-to-end approaches and face challenges such as high specification efforts, maintenance difficulties, and flaky…

软件工程 · 计算机科学 2025-04-24 Mario Fuksa , Sandro Speth , Steffen Becker

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,…

计算机视觉与模式识别 · 计算机科学 2025-10-07 Bin Lei , Nuo Xu , Ali Payani , Mingyi Hong , Chunhua Liao , Yu Cao , Caiwen Ding

Multimodal Large Language Models (MLLMs) have made significant strides in visual understanding and generation tasks. However, generating interleaved image-text content remains a challenge, which requires integrated multimodal understanding…

Towards an embodied generalist for real-world interaction, Multimodal Large Language Model (MLLM) agents still suffer from challenging latency, sparse feedback, and irreversible mistakes. Video games offer an ideal testbed with rich visual…

计算机视觉与模式识别 · 计算机科学 2026-04-10 Mingyu Ouyang , Siyuan Hu , Kevin Qinghong Lin , Hwee Tou Ng , Mike Zheng Shou

The emergence of agentic recommender systems powered by Large Language Models (LLMs) represents a paradigm shift in personalized recommendations, leveraging LLMs' advanced reasoning and role-playing capabilities to enable autonomous,…

信息检索 · 计算机科学 2025-05-29 Yu Shang , Peijie Liu , Yuwei Yan , Zijing Wu , Leheng Sheng , Yuanqing Yu , Chumeng Jiang , An Zhang , Fengli Xu , Yu Wang , Min Zhang , Yong Li

Graphical User Interface (GUI) Agents, powered by large language and vision-language models, hold promise for enabling end-to-end automation in digital environments. However, their progress is fundamentally constrained by the scarcity of…

机器学习 · 计算机科学 2025-09-22 Musen Lin , Minghao Liu , Taoran Lu , Lichen Yuan , Yiwei Liu , Haonan Xu , Yu Miao , Yuhao Chao , Zhaojian Li

Online form filling is a common yet labor-intensive task involving extensive keyboard and mouse interactions. Despite the long-standing vision of automating this process with "one click", existing tools remain largely rule-based and lack…

计算与语言 · 计算机科学 2025-06-03 Bobo Li , Yuheng Wang , Hao Fei , Juncheng Li , Wei Ji , Mong-Li Lee , Wynne Hsu

Software testing has progressed toward intelligent automation, yet current AI-based test generators still suffer from static, single-shot outputs that frequently produce invalid, redundant, or non-executable tests due to the lack of…

软件工程 · 计算机科学 2026-01-07 Saba Naqvi , Mohammad Baqar , Nawaz Ali Mohammad

The paradigm of LLM-as-a-judge is emerging as a scalable and efficient alternative to human evaluation, demonstrating strong performance on well-defined tasks. However, its reliability in open-ended tasks with dynamic environments and…

软件工程 · 计算机科学 2026-03-04 Chunyang Li , Yilun Zheng , Xinting Huang , Tianqing Fang , Jiahao Xu , Lihui Chen , Yangqiu Song , Han Hu

Mobile apps are ubiquitous in our daily lives for supporting different tasks such as reading and chatting. Despite the availability of many GUI testing tools, app testers still struggle with low testing code coverage due to tools frequently…

软件工程 · 计算机科学 2024-05-01 Han Hu , Han Wang , Ruiqi Dong , Xiao Chen , Chunyang Chen

Autonomous agents that address day-to-day digital tasks (e.g., ordering groceries for a household), must not only operate multiple apps (e.g., notes, messaging, shopping app) via APIs, but also generate rich code with complex control flow…

The rapid proliferation and increasing complexity of software demand robust quality assurance, with graphical user interface (GUI) testing playing a pivotal role. Crowdsourced testing has proven effective in this context by leveraging the…

软件工程 · 计算机科学 2026-04-16 Shengcheng Yu , Yuchen Ling , Chunrong Fang , Zhenyu Chen , Chunyang Chen

Mission-critical industrial infrastructure, such as data centers, increasingly depends on complex management software. Its operations, however, pose significant challenges due to the escalating system complexity, multi-vendor integration,…

人工智能 · 计算机科学 2025-09-18 Liangtao Lin , Zhaomeng Zhu , Tianwei Zhang , Yonggang Wen

Enabling fully automated testing of mobile applications has recently become an important topic of study for both researchers and practitioners. A plethora of tools and approaches have been proposed to aid mobile developers both by…

软件工程 · 计算机科学 2018-01-22 Mario Linares Vasquez , Carlos Bernal-Cardenas , Kevin Moran , Denys Poshyvanyk

GUI prototyping is a fundamental component in the development of modern interactive systems, which are now ubiquitous across diverse application domains. GUI prototypes play a critical role in requirements elicitation by enabling…

软件工程 · 计算机科学 2025-08-06 Kristian Kolthoff , Felix Kretzer , Christian Bartelt , Alexander Maedche , Simone Paolo Ponzetto

Current evaluation methods for large language models (LLMs) primarily rely on static benchmarks, presenting two major challenges: limited knowledge coverage and fixed difficulties that mismatch with the evaluated LLMs. These limitations…

计算与语言 · 计算机科学 2026-01-16 Zhichao Shi , Xuhui Jiang , Chengjin Xu , Cangli Yao , Shengjia Ma , Yinghan Shen , Zixuan Li , Jian Guo , Yuanzhuo Wang
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