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An empirical investigation into the simulation of the Big Five personality traits by large language models (LLMs), namely Llama2, GPT4, and Mixtral, is presented.
Congruence of others’ and self-judgments of personality
David C. Funder and C. Randall Colvin. 1997 · 1997
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Personality Traits
Gerald Matthews, Ian Deary, and Martha Whiteman. 2003 · 2003
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Consensual validation of personality traits across cultures
Robert R. McCrae, Paul T. Costa Jr., Thomas A. Martin, Valery E. Oryol, Alexey A. Rukavishnikov, Ivan G. Senin, Martina Hrebickova, and Tomas Urbanek. 2004 · 2004
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The convergent validity between self and observer ratings of personality: A meta-analytic review
James J Connolly, Erin J Kavanagh, and Chockalingam Viswesvaran. 2007 · 2007
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Accuracy of judging others’ traits and states: Comparing mean levels across tests
Judith A. Hall, Susan A. Andrzejewski, Nora A. Murphy, Marianne Schmid Mast, and Brian A. Feinstein. 2008 · 2008
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The place of the FFM in personality psychology
Robert McCrae. 2010 · 2010
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A test of the international personality item pool representation of the revised NEO personality inventory and development of a 120-item IPIP-based measure of the five-factor model
J.L. Maples, L. Guan, N.T. Carter, and J.D. Miller. 2014 · 2014
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Assessing the structure of the five factor model of personality (IPIP-NEO-120) in the public domain
P.J. Kajonius and J.A. Johnson. 2019 · 2019
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When large language models meet personalization: Perspectives of challenges and opportunities
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, and Enhong Chen. 2023 · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
GenAI and Meta. 2023 · 2023
Cited alongside, same era.
Evaluating and inducing personality in pre-trained language models
LLM-Rec: Personalized recommendation via prompting large language models
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, and Jiebo Luo. 2023 · 2023
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Mistral AI. 2023 · 2023
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Open AI. 2023 · 2023
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LaMP: When large language models meet personalization
Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023 · 2023
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Guangyuan Jiang, Wenjuan Han, Manjie Xu, Chi Zhang, Song-Chun Zhu, and Yixin Zhu. 2023 · 2023
Cited alongside, same era.
Teach LLMs to personalize – an approach inspired by writing education
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, and Michael Bendersky. 2023 · 2023
Cited alongside, same era.
Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, Luning Sun, Stephen Fitz, Peter Romero, Marwa Abdulhai, Aleksandra Faust, and Maja Matari. 2023 · 2023
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Memory-augmented LLM personalization with short-and long-term memory coordination
Kai Zhang, Fubang Zhao, Yangyang Kang, and Xiaozhong Liu. 2023 · 2023
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