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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jaewan Chun

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Open access Aug 2026

From binary to general attributes: attributed hypergraph generation with realistic interplay between structure and attributes

NoAH is proposed, a stochastic hypergraph generative model for attributed hypergraphs that utilizes the core–fringe node hierarchy to model hyperedge formation as a series of node attachments and determines attachment probabilities based on node attributes.

Jaewan Chun, Seokbum Yoon, Minyoung Choe et al. · 0 citations
Preprint Aug 2026

Automating and Scaling Behavioral Scientific Research on AI Agents

AEROBAT is introduced, the first multi-agent system to automate behavioral scientific research on AI agents and demonstrates that automated behavioral scientific research on AI agents can complement and extend the reach of manual research.

S. Lee, Jongha Lee, Jaewan Chun et al. · 0 citations

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