activity
20242026
collaborators

15 papers

cs.AI2026

Faithful Mobile GUI Agents with Guided Advantage Estimator

Haowen Hu, Pengzhou Cheng, Zheng Wu +3

Vision-language model based graphical user interface (GUI) agents have shown strong interaction capabilities. However, they often behave unfaithfully, relying on memorized shortcut…

cs.CL2026

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents

Zheng Wu, Yi Hua, Zhaoyuan Huang +8

The evolution of Multimodal Large Language Models (MLLMs) has shifted the focus from text generation to active behavioral execution, particularly via OS agents navigating complex G…

cs.CL2025

Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations

Pengzhou Cheng, Lingzhong Dong, Zeng Wu +5

Although numerous strategies have recently been proposed to enhance the autonomous interaction capabilities of multimodal agents in graphical user interface (GUI), their reliabilit…

cs.CL2025

Say One Thing, Do Another? Diagnosing Reasoning-Execution Gaps in VLM-Powered Mobile-Use Agents

Lingzhong Dong, Ziqi Zhou, Shuaibo Yang +6

Mobile-use agents powered by vision-language models (VLMs) have shown great potential in interpreting natural language instructions and generating corresponding actions based on mo…

cs.AI2025

See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles

Zongru Wu, Rui Mao, Zhiyuan Tian +7

The advent of multimodal agents facilitates effective interaction within graphical user interface (GUI), especially in ubiquitous GUI control. However, their inability to reliably…

cs.CL2025

VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents

Zheng Wu, Heyuan Huang, Xingyu Lou +8

With the rapid progress of multimodal large language models, operating system (OS) agents become increasingly capable of automating tasks through on-device graphical user interface…