The research delves into the innovative evolution of chat-based search engines like Bing Chat and Bard, highlighting their unique content selection behavior. Preferences for readable, analytical content with lower perplexity levels are observed, indicating a natural emergence from underlying language models. The study sheds light on the distinct criteria employed by these engines compared to conventional search algorithms, offering insights into the future of AI-driven information retrieval.
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by Lijia Ma,Xin... at arxiv.org 03-01-2024
https://arxiv.org/pdf/2402.19421.pdfDeeper Inquiries