Preprint
Jul 2026
Evaluating and Pricing Advertisements in AI-Generated Responses
This work constructs the missing supervision through a psychologically grounded agent simulation framework, and distil it into a parameter-efficient evaluator that predicts click-through intent, together with the three companion dimensions of ad quality, as smooth, differentiable estimates.
John L. Turner-Smith, Zimeng Huang, Yuhan Fu et al.
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