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NetInspector: medición y mejora de las capacidades de LLM para la generación confiable de políticas de redes basadas en la intención

arXiv: 2609.21103v1Tipo de anuncio: nuevo Resumen: Las redes modernas son de gran escala y de configuración heterogénea, lo que hace que la gestión manual de políticas sea cada vez menos práctica. Direcciones de redes basadas en la intención (IBN) thi

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arXiv:2609.21103v1 Announce Type: new Abstract: Modern networks are large in scale and heterogeneous in configuration, making manual policy management increasingly impractical. Intent-Based Networking (IBN) addresses this by automating the translation of high-level operator goals into low-level network configurations. Yet existing IBN systems rely on static heuristics and fixed-feature classifiers that generalize poorly to distribution shifts such as new service definitions or evolving phrasing in operator requests. Large Language Models (LLMs), with strong reasoning and translation capabilities demonstrated across many domains, are a natural candidate for IBN policy generation. However, it is unclear whether LLMs can be reliably applied to this task, nor whether their use mitigates or worsens the underlying