IAMFM combines VCG incentives with multi-fidelity optimization to maximize social welfare in generative advertising, using Active Counterfactual Optimization for feasible payments and providing approximate strategy-proofness guarantees.
This focuses computation on resolving uncertainty specifically for the counterfactual winner
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Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
IAMFM combines VCG incentives with multi-fidelity optimization to maximize social welfare in generative advertising, using Active Counterfactual Optimization for feasible payments and providing approximate strategy-proofness guarantees.