AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work recasts vulnerability discovery as an input-prediction task with a closed, deterministic ground truth, and decomposes discovery into three task modes over 22 real-world C/C++ programs spanning 15 domains, finding constraint inference, not navigation, is the dominant bottleneck.
Scientific agents increasingly analyze data, execute code, and produce research artifacts, yet most benchmarks emphasize final answers, isolated programs, or a single domain. We introduce FrontierChallenge, a cross-domain benchmark comprising 300 end-to-end scientific workflows. In this paper, we release and evaluate 9...
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