AI RESEARCH
Making Logic a First-Class Citizen in Generative ML for Networking
arXiv CS.LG
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ArXi:2506.23964v3 Announce Type: replace-cross Generative ML models are increasingly popular in networking for tasks such as telemetry imputation, prediction, and synthetic trace generation. Despite their capabilities, they suffer from two shortcomings: \emph{(i)} their output is often visibly violating well-known networking rules, which undermines their trustworthiness; and \emph{(ii)} they are difficult to control, frequently requiring re