collaborators

6 papers

cs.CL2025

MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments

Quyu Kong, Xu Zhang, Zhenyu Yang +10

Among existing online mobile-use benchmarks, AndroidWorld has emerged as the dominant benchmark due to its reproducible environment and deterministic evaluation; however, recent ag…

cs.CV2025

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Hanzhang Zhou, Xu Zhang, Panrong Tong +8

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…

cs.MM2025

ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing

Liangyu Chen, Yichen Xu, Jianzhe Ma +5

Chart editing reduces manual effort in visualization design. Typical benchmarks limited in data diversity and assume access to complete chart code, which is seldom in real-world sc…

cs.CV2025

UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning

Liangyu Chen, Hanzhang Zhou, Chenglin Cai +10

GUI grounding, which maps natural-language instructions to actionable UI elements, is a core capability of GUI agents. Prior works largely treats instructions as a static proxy for…

cs.CV2025

ChartM: Benchmarking Chart Editing with Multimodal Instructions

Donglu Yang, Liang Zhang, Zihao Yue +4

Charts are a fundamental visualization format widely used in data analysis across research and industry. While enabling users to edit charts based on high-level intentions is of gr…

cs.CL2025

POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering

Yichen Xu, Liangyu Chen, Liang Zhang +3

Charts are a universally adopted medium for data communication, yet existing chart understanding benchmarks are overwhelmingly English-centric, limiting their accessibility and rel…