AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LLM-Falsifier is shown to outperform existing falsification tools based on a range of optimization paradigms, from surrogate-based and Bayesian optimization to search-based testing, on 14 of 21 specifications when measured by the average number of simulations required to find a counterexample.
This work traces spillover to geometric entanglement of steering directions, captured by their Gram matrix, and derives a zero-cost correction from an activation-norm-penalized objective that decouples each direction's contribution exactly.
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