activity
20242026
most citedMulti-Programming Language Sandbox for LLMs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

GUITAR: Structured Failure Diagnosis of GUI Agents via State Transitions

Shaoqing Zhang, Kehai Chen, Xuefeng Bai +4

Understanding where and why Graphical User Interface (GUI) agents fail is essential for building more reliable systems, yet current evaluation relies on step accuracy, a metric tha…

cs.AI2025

XBOUND: Exploring Capability Boundaries of Device-Control Agents at the State Level

Shaoqing Zhang, Kehai Chen, Zhuosheng Zhang +4

Recent advancements in vision-language models have increased interest in Device-Control Agents (DC agents) for managing graphical user interfaces (GUIs). With the growing complexit…

cs.CL2024

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen +4

Despite being empowered with alignment mechanisms, large language models (LLMs) are increasingly vulnerable to emerging jailbreak attacks that can compromise their alignment mechan…

cs.SE2024★ 1 cited

Multi-Programming Language Sandbox for LLMs

Shihan Dou, Jiazheng Zhang, Jianxiang Zang +25

We introduce MPLSandbox, an out-of-the-box multi-programming language sandbox designed to provide unified and comprehensive feedback from compiler and analysis tools for Large Lang…

cs.AI2024

Dynamic Planning for LLM-based Graphical User Interface Automation

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen +4

The advent of large language models (LLMs) has spurred considerable interest in advancing autonomous LLMs-based agents, particularly in intriguing applications within smartphone gr…