用文化框架生成和评估大模型人格，验证其跨文化一致性。
Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
- 基于世界价值观调查变量生成文化相关人格
- 人格在文化地图上分布与真实人群模式一致
- 适合研究跨文化认知与道德差异的学者
尽管大型语言模型（LLMs）在模拟人类行为方面日益有用，但这些合成人格在不同文化背景下的世界观与道德体系反映程度仍不明确。本文研究了合成文化人格与既有框架（世界价值观调查，WVS；Inglehart-Welzel文化地图；道德基础理论）的对齐情况。我们基于可解释的WVS衍生变量构建并生成了LLM人格，并通过三个互补视角进行分析：在Inglehart-Welzel地图上的定位，揭示文化背景下的稳定差异；与世界价值观调查的人群层面一致性，响应分布总体符合人类群体模式；以及基于道德基础问卷生成的道德画像，通过文化-道德映射分析不同文化配置下的道德反应差异。该方法实现了对跨文化结构与道德变异的评估。
原文摘要 · Abstract (English)
Despite the growing utility of Large Language Models (LLMs) for simulating human behavior, the extent to which these synthetic personas accurately reflect world and moral value systems across different cultural conditionings remains uncertain. This paper investigates the alignment of synthetic, culturally-grounded personas with established frameworks, specifically the World Values Survey (WVS), the Inglehart-Welzel Cultural Map, and Moral Foundations Theory. We conceptualize and produce LLM-generated personas based on a set of interpretable WVS-derived variables, and we examine the generated personas through three complementary lenses: positioning on the Inglehart-Welzel map, which unveils their interpretation reflecting stable differences across cultural conditionings; demographic-level consistency with the World Values Survey, where response distributions broadly track human group patterns; and moral profiles derived from a Moral Foundations questionnaire, which we analyze through a culture-to-morality mapping to characterize how moral responses vary across different cultural configurations. Our approach of culturally-grounded persona generation and analysis enables evaluation of cross-cultural structure and moral variation.
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