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Graphical User Interface (GUI) grounding is commonly framed as a coordinate prediction task -- given a natural language instruction, generate on-screen coordinates for actions such as clicks and keystrokes. However, recent Vision Language…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Yu Zhao , Wei-Ning Chen , Huseyin Atahan Inan , Samuel Kessler , Lu Wang , Lukas Wutschitz , Fangkai Yang , Chaoyun Zhang , Pasquale Minervini , Saravan Rajmohan , Robert Sim

Graphical User Interface (GUI) grounding plays a crucial role in enhancing the capabilities of Vision-Language Model (VLM) agents. While general VLMs, such as GPT-4V, demonstrate strong performance across various tasks, their proficiency in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Anthony Nguyen

Visual agent models for automating human activities on Graphical User Interfaces (GUIs) have emerged as a promising research direction, driven by advances in large Vision Language Models (VLMs). A critical challenge in GUI automation is the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Joonhyung Park , Peng Tang , Sagnik Das , Srikar Appalaraju , Kunwar Yashraj Singh , R. Manmatha , Shabnam Ghadar

The rapid advancement of vision-language models has catalyzed the emergence of GUI agents, which hold immense potential for automating complex tasks, from online shopping to flight booking, thereby alleviating the burden of repetitive…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Zhongyin Zhao , Yuan Liu , Yikun Liu , Haicheng Wang , Le Tian , Xiao Zhou , Yangxiu You , Zilin Yu , Yang Yu , Jie Zhou

Graphical user interface (GUI) grounding is a fundamental task for building GUI agents. However, general vision-language models (VLMs) struggle with this task due to a lack of specific optimization. We identify a key gap in this paper:…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Weiming Li , Yan Shao , Jing Yang , Yujing Lu , Ling Zhong , Yuhan Wang , Manni Duan

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

GUI grounding aims to align natural language instructions with precise regions in complex user interfaces. Advanced multimodal large language models show strong ability in visual GUI grounding but still struggle with small or visually…

Artificial Intelligence · Computer Science 2025-12-02 Aiden Yiliu Li , Bizhi Yu , Daoan Lei , Tianhe Ren , Shilong Liu

Vision-Language Models (VLMs) have enabled autonomous GUI agents that translate natural language instructions into executable screen coordinates. However, grounding performance degrades in high-resolution interfaces, where dense layouts and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Ruilin Yao , Shegnwu Xiong , Tianyu Zou , Shili Xiong , Yi Rong

Graphical User Interface (GUI) grounding, the task of mapping natural language instructions to precise screen coordinates, is fundamental to autonomous GUI agents. While existing methods achieve strong performance through extensive…

Computer Vision and Pattern Recognition · Computer Science 2025-11-14 Yong Du , Yuchen Yan , Fei Tang , Zhengxi Lu , Chang Zong , Weiming Lu , Shengpei Jiang , Yongliang Shen

The emergence of Multimodal Large Language Models (MLLMs) has driven significant advances in Graphical User Interface (GUI) agent capabilities. Nevertheless, existing GUI agent training and inference techniques still suffer from a dilemma…

Artificial Intelligence · Computer Science 2026-04-09 Shuquan Lian , Yuhang Wu , Jia Ma , Yifan Ding , Zihan Song , Bingqi Chen , Xiawu Zheng , Hui Li , Rongrong Ji

Graphical user interface (GUI) grounding is a key capability for computer-use agents, mapping natural-language instructions to actionable regions on the screen. Existing Multimodal Large Language Model (MLLM) approaches typically formulate…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Shijie Zhou , Viet Dac Lai , Hao Tan , Jihyung Kil , Wanrong Zhu , Changyou Chen , Ruiyi Zhang

Graphical User Interface (GUI) tasks are vital for automating workflows such as software testing, user interface navigation. For users, the GUI is the most intuitive platform for interacting with a computer. Previous work identified a key…

Computation and Language · Computer Science 2025-03-10 Zheng Hui , Yinheng Li , Dan zhao , Tianyi Chen , Colby Banbury , Kazuhito Koishida

Recent advancements in Multi-modal Large Language Models (MLLMs) have led to significant progress in developing GUI agents for general tasks such as web browsing and mobile phone use. However, their application in professional domains…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Kaixin Li , Ziyang Meng , Hongzhan Lin , Ziyang Luo , Yuchen Tian , Jing Ma , Zhiyong Huang , Tat-Seng Chua

Recent popularity of Large Language Models (LLMs) has opened countless possibilities in automating numerous AI tasks by connecting LLMs to various domain-specific models or APIs, where LLMs serve as dispatchers while domain-specific models…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Zhizheng Zhang , Wenxuan Xie , Xiaoyi Zhang , Yan Lu

Graphical User Interface (GUI) action grounding is a critical step in GUI automation that maps language instructions to actionable elements on GUI screens. Most recent works of GUI action grounding leverage large GUI datasets to fine-tune…

Computation and Language · Computer Science 2025-01-28 Yue Fan , Handong Zhao , Ruiyi Zhang , Yu Shen , Xin Eric Wang , Gang Wu

Graphical User Interface (GUI) agents have made substantial strides in understanding and executing user instructions across diverse platforms. Yet, grounding these instructions to precise interface elements remains challenging, especially…

Artificial Intelligence · Computer Science 2025-05-27 Xinbin Yuan , Jian Zhang , Kaixin Li , Zhuoxuan Cai , Lujian Yao , Jie Chen , Enguang Wang , Qibin Hou , Jinwei Chen , Peng-Tao Jiang , Bo Li

Vision Language Models (VLMs) have recently achieved significant progress in bridging visual perception and linguistic reasoning. Recently, OpenAI o3 model introduced a zoom-in search strategy that effectively elicits active perception…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Wanfu Wang , Qipeng Huang , Guangquan Xue , Xiaobo Liang , Juntao Li

Graphical User Interface (GUI) grounding - the task of mapping natural language instructions to screen coordinates - is essential for autonomous agents and accessibility technologies. Existing systems rely on monolithic models or one-shot…

Artificial Intelligence · Computer Science 2025-11-18 SeokJoo Kwak , Jihoon Kim , Boyoun Kim , Jung Jae Yoon , Wooseok Jang , Jeonghoon Hong , Jaeho Yang , Yeong-Dae Kwon

GUI agents powered by Multimodal Large Language Models (MLLMs) have demonstrated impressive capability in understanding and executing user instructions. However, accurately grounding instruction-relevant elements from high-resolution…

Artificial Intelligence · Computer Science 2026-05-18 Yichao Liu , Huawen Shen , Liu Yu , Shiyu Liu , Zeyu Chen , Yu Zhou

One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., localizing the appropriate screen region for action execution based on both the visual content and the textual plans. Most existing work…

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