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

Ruochun Jin

View on Semantic Scholar

2 papers indexed here

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.

Open access Sep 2026

Detecting Contradictions Within and Across Documents

This paper presents DocChecker, a system for detecting textual contradictions. Given a document collection 𝒟, DocChecker identifies conflicting properties or relationships assigned to the same entity, both within and across documents. It adopts a graph-based paradigm: entities and their relations are extracted, repre...

Sheng-Lin Chen, Wen-Fei Fan, Ruo-Chun Jin et al. · 0 citations
Conference Open access Sep 2026

Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approach

Empowered by large language models (LLMs), multi-agent systems (MAS) have shown significant potential in code generation by simulating collaborative workflows. However, we identify a collaboration degeneration phenomenon, where one agent dominates while others remain disengaged, occurring in 38.4% of non-routine HumanE...

Shan-Zhi Gu, Mingyang Geng, Yihong Dong 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.