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LLMs can drive significant gains in ad systems, not just as rankers or retrievers, but as complementary predictors that forecast likely advertisers from user profiles.
VLMs hide a surprisingly compact set of recurrent hub neurons that, when perturbed, can drastically alter model outputs, suggesting a new path for targeted interventions.