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New research proposes 'click thinning' for truthful LLM advertising

By PulseAugur Editorial · [1 sources] ·

A new research paper titled "Truthful by Omission: Click Thinning for LLM-Native Advertising" explores how to make advertising within generative AI truthful and efficient. The paper addresses the challenge that ads embedded in AI responses compete for clicks, where earlier ads can reduce the click-through rate of later ones. The proposed solution, "click thinning," involves randomly omitting ads to ensure each ad's click probability is independent of its position. This mechanism is designed to be truthful in expectation and achieve at least half of the optimal welfare, even when the order of ads is fixed. AI

IMPACT Introduces a novel mechanism for truthful and efficient advertising within generative AI, potentially impacting how sponsored content is integrated into AI responses.

RANK_REASON The cluster contains a research paper detailing a novel mechanism for LLM-native advertising. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New research proposes 'click thinning' for truthful LLM advertising

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The cluster contains a research paper detailing a novel mechanism for LLM-native advertising. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Truthful by Omission: Click Thinning for LLM-Native Advertising

    Generative AI assistants are becoming an advertising medium, embedding sponsored content in their answers. This setting departs from classical position auctions in two ways: an ad's click-through rate depends on the passage that hosts it, and because users stop at their first cli…

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