TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments

Graphical User Interface (GUI) agents, which autonomously operate on digital interfaces through natural language instructions, hold transformative potential for accessibility, automation, and user experience.A critical aspect of their functionality is grounding -the ability to map linguistic intents to visual and structural interface elements.However, existing GUI agents often struggle to adapt to the dynamic and interconnected nature of real-world digital environments, where tasks frequently span multiple platforms and applications while also being impacted by version updates.To address this, we introduce TransBench, the first benchmark designed to systematically evaluate and enhance the transferability of GUI agents across three key dimensions: crossversion transferability (adapting to version updates), cross-platform transferability (generalizing across platforms like iOS, Android, and Web), and cross-application transferability (handling tasks spanning functionally distinct apps).TransBench includes 15 app categories with diverse functionalities, capturing essential pages across versions and platforms to enable robust evaluation.Our experiments demonstrate significant improvements in grounding accuracy, showcasing the practical utility of GUI agents in dynamic, realworld environments.Our code and data will be publicly available at TransBench.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.645
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments

Mong Liang, Yuhang Guo, Yu Qian, Hongru Wang et al.
Mobile Agent-Based Network Management
article

TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environments

Mong Liang, Yuhang Guo, Yu Qian, Hongru Wang, Yanping Liu, Haifeng Wang, You Lü, Wei Su, Zeming Liu, Yunhong Wang
article en

Abstract

Graphical User Interface (GUI) agents, which autonomously operate on digital interfaces through natural language instructions, hold transformative potential for accessibility, automation, and user experience.A critical aspect of their functionality is grounding -the ability to map linguistic intents to visual and structural interface elements.However, existing GUI agents often struggle to adapt to the dynamic and interconnected nature of real-world digital environments, where tasks frequently span multiple platforms and applications while also being impacted by version updates.To address this, we introduce TransBench, the first benchmark designed to systematically evaluate and enhance the transferability of GUI agents across three key dimensions: crossversion transferability (adapting to version updates), cross-platform transferability (generalizing across platforms like iOS, Android, and Web), and cross-application transferability (handling tasks spanning functionally distinct apps).TransBench includes 15 app categories with diverse functionalities, capturing essential pages across versions and platforms to enable robust evaluation.Our experiments demonstrate significant improvements in grounding accuracy, showcasing the practical utility of GUI agents in dynamic, realworld environments.Our code and data will be publicly available at TransBench.

Baidu, National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 79%
Mobile Agent-Based Network Management
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