Information Retrieval meets Large Language Models: A strategic report from Chinese IR community

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community

The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Models (LLMs) have demonstrated exceptional capabilities in text understanding, generation, and knowledge inference, openin...

Полное описание

Библиографические подробности
Главные авторы: Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Формат: Статья
Язык:English
Опубликовано: KeAi Communications Co. Ltd. 2023-01-01
Серии:AI Open
Предметы:
Information Retrieval
Language Models
Recommendation system
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2666651023000049

Internet

http://www.sciencedirect.com/science/article/pii/S2666651023000049

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