AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Wide tables offer tabular foundation models more evidence, but accessing it can exhaust their memory: full-width pairwise mixing grows quadratically with the number of columns, while feature selection makes inputs affordable by discarding evidence. We ask whether using more features requires interacting over all of the...
Transferable evidence reconstruction (TER) is introduced: a Ridge regressor fits evidence from representations in one group and predicts it in an identity-disjoint group without refitting, and uses meaningful signal properties to supervise not only what a representation preserves, but how reliably it can be read across...
GeoVAD-Bench is introduced, a diagnostic benchmark that pairs a fine-grained five-dimensional trajectory diagnosis covering perception, auxiliary quality, utilization, deductive reasoning, and final correctness with controlled No-Aux, Auto-Aux, and GT-Aux intervention settings to systematically isolate intermediate err...
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