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Uncertainty Signals for Network Intent Translation: Risk Ranking and Ambiguity Localization

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Intent-based networking realization starts by translating high-level intents into low-level network configurations. Recent approaches have shifted toward LLM-based translation. Despite promising results, most studies focus on translation accuracy and overlook risks associated with deploying the resulting configurations. In this work, we investigate the pre-deployment translation risk of LLM-generated configurations by analyzing the model's uncertainty. We propose to use two uncertainty signals, namely sampling-based predictive uncertainty for translation-risk ranking and token-level entropy fo

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