Feb. 23, 2024, 5:49 a.m. | Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, Leif Azzopardi

cs.CL updates on arXiv.org arxiv.org

arXiv:2401.01330v2 Announce Type: replace-cross
Abstract: Conversational Information Seeking has evolved rapidly in the last few years with the development of Large Language Models providing the basis for interpreting and responding in a naturalistic manner to user requests. iKAT emphasizes the creation and research of conversational search agents that adapt responses based on the user's prior interactions and present context. This means that the same question might yield varied answers, contingent on the user's profile and preferences. The challenge lies in …

abstract adapt agents arxiv conversational conversational search cs.ai cs.cl cs.ir development information interactive knowledge language language models large language large language models overview research responses search type

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