LLMs Simulate Big Five Personality Traits: Further Evidence

• URL: http://arxiv.org/abs/2402.01765v1
• Date: Wed, 31 Jan 2024 13:45:25 GMT
• Title: LLMs Simulate Big Five Personality Traits: Further Evidence
• Authors: Aleksandra Sorokovikova, Natalia Fedorova, Sharwin Rezagholi, Ivan P. Yamshchikov
• Abstract summary: We analyze the personality traits simulated by Llama2, GPT4, and Mixtral. This contributes to the broader understanding of the capabilities of LLMs to simulate personality traits.
• Score: 51.13560635563004
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: An empirical investigation into the simulation of the Big Five personality traits by large language models (LLMs), namely Llama2, GPT4, and Mixtral, is presented. We analyze the personality traits simulated by these models and their stability. This contributes to the broader understanding of the capabilities of LLMs to simulate personality traits and the respective implications for personalized human-computer interaction.

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