Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909752208916480 |
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| author | Liu, Haijiang Li, Qiyuan Gao, Chao Cao, Yong Xu, Xiangyu Wu, Xun Hershcovich, Daniel Gu, Jinguang |
| author_facet | Liu, Haijiang Li, Qiyuan Gao, Chao Cao, Yong Xu, Xiangyu Wu, Xun Hershcovich, Daniel Gu, Jinguang |
| contents | Introducing MARK, the Multi-stAge Reasoning frameworK for cultural value survey response simulation, designed to enhance the accuracy, steerability, and interpretability of large language models in this task. The system is inspired by the type dynamics theory in the MBTI psychological framework for personality research. It effectively predicts and utilizes human demographic information for simulation: life-situational stress analysis, group-level personality prediction, and self-weighted cognitive imitation. Experiments on the World Values Survey show that MARK outperforms existing baselines by 10% accuracy and reduces the divergence between model predictions and human preferences. This highlights the potential of our framework to improve zero-shot personalization and help social scientists interpret model predictions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_17855 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning Liu, Haijiang Li, Qiyuan Gao, Chao Cao, Yong Xu, Xiangyu Wu, Xun Hershcovich, Daniel Gu, Jinguang Computation and Language Computers and Society Introducing MARK, the Multi-stAge Reasoning frameworK for cultural value survey response simulation, designed to enhance the accuracy, steerability, and interpretability of large language models in this task. The system is inspired by the type dynamics theory in the MBTI psychological framework for personality research. It effectively predicts and utilizes human demographic information for simulation: life-situational stress analysis, group-level personality prediction, and self-weighted cognitive imitation. Experiments on the World Values Survey show that MARK outperforms existing baselines by 10% accuracy and reduces the divergence between model predictions and human preferences. This highlights the potential of our framework to improve zero-shot personalization and help social scientists interpret model predictions. |
| title | Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2508.17855 |