November 9, 2025Open Access

From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers

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Remarkable accuracy was observed with LLMs capturing human psychological constructs from minimal data inputs, indicating strong potential in psychological profiling.
The inter-scale correlation between LLM-generated responses and human data showed an alignment of R^2 > 0.89, emphasizing effective modeling of psychological traits.
Observational analysis revealed LLMs use a two-stage reasoning process to transform Big Five traits into personality summaries, reflecting patterns in human responses.
The findings highlight the ability of LLMs to enhance understanding of psychological constructs and suggest valuable insights into their reasoning processes.

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Implication

Analysis reveals large language models can accurately predict psychological traits through abstraction and reasoning, highlighting potential for psychological simulation.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/690fdcdaf60c54d04ea3814b https://doi.org/10.48550/arxiv.2511.03235

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Implication

Analysis reveals large language models can accurately predict psychological traits through abstraction and reasoning, highlighting potential for psychological simulation.

From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers

Key Points

Discussion

Implication

Cite This Study

From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers

Key Points

Discussion

Implication

Cite This Study

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