LLMs Simulate Big Five Personality Traits: Further Evidence

Aleksandra Sorokovikova, Natalia Fedorova, Sharwin Rezagholi, Ivan P. Yamshchikov

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.