Detecting and Mitigating Generated Native Ads in Conversational Search Engines

Conversational search engines using large language models can potentially insert native ads directly into their generated responses, posing challenges for user transparency and ad blocking. This study investigates the feasibility of detecting such generated native ads using both language models and fine-tuned sentence transformers.