1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.HC2025
MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning
Liujian Tang, Shaokang Dong, Yijia Huang +21
This paper presents MagicGUI, a foundational mobile GUI agent designed to address critical challenges in perception, grounding, and reasoning within real-world mobile GUI environme…
cs.AI2025★ 1 cited
Pentest-R1: Towards Autonomous Penetration Testing Reasoning Optimized via Two-Stage Reinforcement Learning
He Kong, Die Hu, Jingguo Ge +3
Automating penetration testing is crucial for enhancing cybersecurity, yet current Large Language Models (LLMs) face significant limitations in this domain, including poor error ha…
cs.SE2025★ 1 cited
VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework
He Kong, Die Hu, Jingguo Ge +3
Penetration testing is a vital practice for identifying and mitigating vulnerabilities in cybersecurity systems, but its manual execution is labor-intensive and time-consuming. Exi…