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.
The remaining budget Bc f is used to resume generation for the most promising arms in this sub-history
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GT 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.