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Large language models can replicate cross-cultural differences in personality
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本研究通过大规模实验,验证GPT-4能否复现跨文化差异,结果显示GPT-4在复现跨文化差异方面表现良好,但存在偏差和结构效度问题。

arXiv:2310.10679v4 Announce Type: replace-cross Abstract: We use a large-scale experiment (N=8000) to determine whether GPT-4 can replicate cross-cultural differences in the Big Five, measured using the Ten-Item Personality Inventory. We used the US and South Korea as the cultural pair, given that prior research suggests substantial personality differences between people from these two countries. We manipulated the target of the simulation (US vs. Korean), the language of the inventory (English vs. Korean), and the language model (GPT-4 vs. GPT-3.5). Our results show that GPT-4 replicated the cross-cultural differences for each factor. However, mean ratings had an upward bias and exhibited lower variation than in the human samples, as well as lower structural validity. We provide preliminary evidence that LLMs can aid cross-cultural researchers and practitioners.

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GPT-4 跨文化差异 实验分析 LLM Big Five
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