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arXiv 2402.01765cs.CLcs.AI

LLMs模拟大五人格特质:进一步证据

LLMs Simulate Big Five Personality Traits: Further Evidence

JetBrains;Toloka AI;CAIRO

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

AI总结:

本文实证考察了Llama2、GPT4和Mixtral模拟大五人格特质及其稳定性,增进了对LLMs人格模拟能力及其对个性化人机交互影响的理解。

摘要:

本文对大型语言模型(LLMs),即Llama2、GPT4和Mixtral,模拟大五人格特质进行了实证研究。我们分析了这些模型所模拟的人格特质及其稳定性。这有助于更广泛地理解LLMs模拟人格特质的能力,以及对个性化人机交互的相应影响。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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