Zobrazeno 1 - 7
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pro vyhledávání: '"Zhang, Jingshuai"'
In this paper, we present the technical details and periodic findings of our project, CareerAgent, which aims to build a generative simulation framework for a Holacracy organization using Large Language Model-based Autonomous Agents. Specifically, th
Externí odkaz:
http://arxiv.org/abs/2408.11826
Autor:
Jiang, Feihu, Qin, Chuan, Zhang, Jingshuai, Yao, Kaichun, Chen, Xi, Shen, Dazhong, Zhu, Chen, Zhu, Hengshu, Xiong, Hui
In the contemporary era of widespread online recruitment, resume understanding has been widely acknowledged as a fundamental and crucial task, which aims to extract structured information from resume documents automatically. Compared to the tradition
Externí odkaz:
http://arxiv.org/abs/2404.13067
Publikováno v:
Online Information Review, 2018, Vol. 44, Issue 2, pp. 455-476.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/OIR-02-2017-0069
Akademický článek
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Publikováno v:
CIKM
As a fundamental task of document content analysis, keyphrase extraction (KE) aims at predicting a set of lexical units that conveys the core information of the document. In this paper, we study the problem of KE in the talent recruitment. This probl
Autor:
Zhang Jingshuai, Hengshu Zhu, Tong Xu, Hui Xiong, Chao Ma, Fuzhen Zhuang, Chen Zhu, Chuan Qin
Publikováno v:
KDD
In talent recruitment, the job interview aims at selecting the right candidates for the right jobs through assessing their skills and experiences in relation to the job positions. While tremendous efforts have been made in improving job interviews, a
Publikováno v:
Knowledge Science, Engineering & Management (9783319476490); 2016, p489-500, 12p