Token-Level Advertising
Generative AI is transforming how people access information, challenging traditional advertising mechanisms built around predefined slots. Towards generation-native advertising, we propose the Latent Advertiser Mixture Auction (LAMA), a token-level advertising mechanism that embeds advertiser influence directly into the generation process. Advertisers report local continuation values that induce advertiser-specific next-token policies, from which the platform decodes through a latent mixture while updating an allocation posterior. We show that LAMA satisfies Markov DSIC and IR, and achieves ne
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- PossiblePossibly related (embedding) · 47%The Future of Advertising Is Predictive: How Deep Learning Is Transforming Marketing - ADWEEK →
- LinkedLinked via arxiv author · 85%Hanbing Liu →
“Token-Level Advertising”
- LinkedLinked via arxiv author · 85%Bowei Zhang →
“Token-Level Advertising”
- LinkedLinked via arxiv author · 85%Changyuan Yu →
“Token-Level Advertising”
- LinkedLinked via arxiv author · 85%Yinyu Ye →
“Token-Level Advertising”
- LinkedLinked via arxiv author · 85%Qi Qin →
“Token-Level Advertising”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”