3 papers
cs.SE2026
GUITestScape: Towards Open-set Evaluation on Exploratory GUI Testing
Xiaoyi Chen, Yifei Gao, Yang Xu +3
Exploratory GUI testing is a particularly demanding setting for MLLM agents: without predefined test scripts, an agent must autonomously navigate an application and discover defect…
cs.AI2026
GUITester: Enabling GUI Agents for Exploratory Defect Discovery
Yifei Gao, Jiang Wu, Xiaoyi Chen +5
Exploratory GUI testing is essential for software quality but suffers from high manual costs. While Multi-modal Large Language Model (MLLM) agents excel in navigation, they fail to…
cs.AI2025
Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
Jitao Sang, Jinlin Xiao, Jiarun Han +5
The rapid evolution of agentic AI marks a new phase in artificial intelligence, where Large Language Models (LLMs) no longer merely respond but act, reason, and adapt. This survey…