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

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arxiv 2402.14679 v2 pith:FE7TEQ6B submitted 2024-02-22 cs.CL cs.CY

Yiming Ai , Zhiwei He , Ziyin Zhang , Wenhong Zhu , Hongkun Hao , Kai Yu , Lingjun Chen , Rui Wang This is my paper · ORCID
classification cs.CLcs.CY
keywords personalityllmsactionlanguagelargeself-knowledgetraitsassess
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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.

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Cited by 1 Pith paper

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  1. Exploring the Potential of Large Language Models to Simulate Personality

    cs.CL 2025-02 conditional novelty 4.0 of 10

    LLMs prompted with Big Five trait scores can respond consistently to personality questionnaires but generate free text that often fails to express the prompted trait, especially Neuroticism.

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