AINeutralarXiv – CS AI · Apr 106/10
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Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
Researchers propose IAMFM, a framework that combines game-theoretic incentives with optimization algorithms to improve how ads are placed in LLM-generated content while controlling computational costs. The approach guarantees strategic advertisers behave honestly and introduces a novel "warm-start" method for efficient payment calculations in complex ad auctions.