Cornetto is the first benchmark that synthesizes 231 network misconfiguration problems across topologies of 20-754 nodes and uses formal verification to show that nine state-of-the-art LLMs often introduce regressions and degrade at scale.
A network arena for benchmarking ai agents on network troubleshooting
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A persona-driven multi-agent framework with a three-dimensional decision-theoretic evaluation shows that agent-persona alignment significantly impacts performance and coordination in O-RAN optimization challenges.
citing papers explorer
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Benchmarking LLM-Driven Network Configuration Repair
Cornetto is the first benchmark that synthesizes 231 network misconfiguration problems across topologies of 20-754 nodes and uses formal verification to show that nine state-of-the-art LLMs often introduce regressions and degrade at scale.
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Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN
A persona-driven multi-agent framework with a three-dimensional decision-theoretic evaluation shows that agent-persona alignment significantly impacts performance and coordination in O-RAN optimization challenges.