大型语言模型中的文化基础人物角色：与社会心理价值框架的表征与对齐
Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
AI总结：
本研究通过世界价值观调查、英格尔哈特-韦尔策尔文化地图和道德基础理论，评估大型语言模型生成的文化基础人物角色是否准确反映不同文化条件下的世界和道德价值体系，并分析其跨文化结构和道德变异。
摘要：
尽管大型语言模型（LLMs）在模拟人类行为方面的实用性日益增强，但这些合成人物角色在不同文化条件下是否准确反映世界和道德价值体系仍不确定。本文研究了合成、文化基础人物角色与既定框架（特别是世界价值观调查（WVS）、英格尔哈特-韦尔策尔文化地图和道德基础理论）的对齐情况。我们基于一组可解释的WVS衍生变量概念化并生成LLM人物角色，并通过三个互补视角检查生成的人物角色：在英格尔哈特-韦尔策尔地图上的定位，揭示其反映跨文化条件稳定差异的解释；与世界价值观调查在人口统计层面的一致性，其中响应分布大致追踪人类群体模式；以及源自道德基础问卷的道德轮廓，我们通过文化-道德映射分析道德响应如何在不同文化配置中变化。我们的文化基础人物角色生成和分析方法能够评估跨文化结构和道德变异。
英文摘要：
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.
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。
