Feb. 9, 2024, 5:47 a.m. | Nikhil Sharma Q. Vera Liao Ziang Xiao

cs.CL updates on arXiv.org arxiv.org

Large language models (LLMs) powered conversational search systems have already been used by hundreds of millions of people, and are believed to bring many benefits over conventional search. However, while decades of research and public discourse interrogated the risk of search systems in increasing selective exposure and creating echo chambers -- limiting exposure to diverse opinions and leading to opinion polarization, little is known about such a risk of LLM-powered conversational search. We conduct two experiments to investigate: 1) whether …

benefits conversational conversational search cs.ai cs.cl cs.hc discourse diverse echo effects generative information language language models large language large language models llm llms people public research risk search systems

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