Sharwin Rezagholi

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2024

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LLMs Simulate Big5 Personality Traits: Further Evidence
Aleksandra Sorokovikova | Sharwin Rezagholi | Natalia Fedorova | Ivan P. Yamshchikov
Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)

An empirical investigation into the simulation of the Big5 personality traits by large language models (LLMs), namely Llama-2, GPT-4, 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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