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LLM-OSDA: An Optimal-Stopping Dynamic Auction for Native Advertising in Multi-Turn LLM Conversations

Fang, Yan et al.
arXiv (All) · Papers
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68t07artificial-intelligencecomputation-and-languagecomputer-science-and-game-theoryi-2-6i-2-7machine-learning
LLM-native advertising embeds sponsored content directly into model-generated responses, shifting the unit of sale from a fixed slot to a moment within an evolving conversation. Existing LLM ad-auction mechanisms primarily operate within a single response, settling the winner but not the timing. The
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