NetAgentBench is an FSM-based benchmark showing that state-of-the-art LLM agents solve basic network configs but suffer exploration meltdowns and coherence collapse on expert-level tasks.
Making network configuration human-friendly
3 Pith papers cite this work. Polarity classification is still indexing.
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A generative AI agent creates a realistic HAP propulsion power model including aerodynamic interference and enables a Q3E beamforming algorithm that improves QoS and energy efficiency.
MM-Telco creates multimodal benchmarks for telecom and demonstrates that fine-tuned LLMs and VLMs achieve significant performance gains on domain-specific tasks.
citing papers explorer
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NetAgentBench: A State-Centric Benchmark for Evaluating Agentic Network Configuration
NetAgentBench is an FSM-based benchmark showing that state-of-the-art LLM agents solve basic network configs but suffer exploration meltdowns and coherence collapse on expert-level tasks.
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Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems
A generative AI agent creates a realistic HAP propulsion power model including aerodynamic interference and enables a Q3E beamforming algorithm that improves QoS and energy efficiency.
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MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications
MM-Telco creates multimodal benchmarks for telecom and demonstrates that fine-tuned LLMs and VLMs achieve significant performance gains on domain-specific tasks.