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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.
Radlinski, F., Craswell, N.: A theoretical framework for conversational search. In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval. pp. 117–126. ACM (2017)
2017
Earlier work this paper cites.
Azzopardi, L., Dubiel, M., Halvey, M., Dalton, J.: Conceptualizing agent-human interactions during the conversational search process. In: The second international workshop on conversational approaches to information retrieval (2018)
2018
Earlier work this paper cites.
Russell-Rose, T., Chamberlain, J., Azzopardi, L.: Information retrieval in the workplace: A comparison of professional search practices. Information Processing & Management 54
2018
Cited alongside, same era.
Owoicho, P., Dalton, J., Aliannejadi, M., Azzopardi, L., Trippas, J.R., Vakulenko, S.: Trec cast 2022: Going beyond user ask and system retrieve with initiative and response generation. In: Proceedings of the NIST Text Retrieval Conference, TREC 2022. pp. 1–11 (2023)
2023
Later among the works it cites.
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