Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality

Fuente: arXiv
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Autori principali: Ai, Yiming, He, Zhiwei, Zhang, Ziyin, Zhu, Wenhong, Hao, Hongkun, Yu, Kai, Chen, Lingjun, Wang, Rui
Natura: Preprint
Pubblicazione: 2024
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author Ai, Yiming
He, Zhiwei
Zhang, Ziyin
Zhu, Wenhong
Hao, Hongkun
Yu, Kai
Chen, Lingjun
Wang, Rui
author_facet Ai, Yiming
He, Zhiwei
Zhang, Ziyin
Zhu, Wenhong
Hao, Hongkun
Yu, Kai
Chen, Lingjun
Wang, Rui
contents In this study, we delve into the validity of conventional personality questionnaires in capturing the human-like personality traits of Large Language Models (LLMs). Our objective is to assess the congruence between the personality traits LLMs claim to possess and their demonstrated tendencies in real-world scenarios. By conducting an extensive examination of LLM outputs against observed human response patterns, we aim to understand the disjunction between self-knowledge and action in LLMs.
format Preprint
id arxiv_https___arxiv_org_abs_2402_14679
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality
Ai, Yiming
He, Zhiwei
Zhang, Ziyin
Zhu, Wenhong
Hao, Hongkun
Yu, Kai
Chen, Lingjun
Wang, Rui
Computation and Language
Computers and Society
In this study, we delve into the validity of conventional personality questionnaires in capturing the human-like personality traits of Large Language Models (LLMs). Our objective is to assess the congruence between the personality traits LLMs claim to possess and their demonstrated tendencies in real-world scenarios. By conducting an extensive examination of LLM outputs against observed human response patterns, we aim to understand the disjunction between self-knowledge and action in LLMs.
title Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality
topic Computation and Language
Computers and Society
url https://arxiv.org/abs/2402.14679