Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Guo-Qing Wang

h-index 5 View on Semantic Scholar

We have 2 of 16 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#reinforcement learning Open access Oct 2026

From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation

With the rapid evolution of Large Language Models (LLMs), automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and data privacy concerns make open-source LLMs the practical imperative for many academic and indust...

Guo-Qing Wang, Cheng-Ran Yang, Xiao-Xuan Zhou et al. · 0 citations
Book Open access Jul 2026

PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs

PurifAI, a proactive, model-agnostic, cache-level purification system designed for safety- and compliance-sensitive deployments, is presented, explicitly designed to preserve knowledge alignment with a pre-defined trusted knowledge core.

Guoqing Wang, Zhao Zhang, Zeyu Sun et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.