3 papers
cs.SE2026
WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing
Yujia Fan, Sinan Wang, Zebang Fei +3
Multi-agent reinforcement learning (MARL)-based techniques have shown promise for GUI testing. However, as the complexity of modern GUI software increases, existing MARL-based appr…
cs.SE2026
Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
Yicheng Tao, Yuante Li, Yao Qin +1
Recent advances in large language models (LLMs) have significantly improved automated code generation. While existing approaches have achieved strong performance at the function an…
cs.AI2026
BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
Yao Qin, Yangyang Yan, Jinhua Pang +1
The integration of Large Language Models (LLMs) into life sciences has catalyzed the development of "AI Scientists." However, translating these theoretical capabilities into deploy…