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<head>
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<meta charset="utf-8">
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<!-- Meta tags for social media banners -->
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<meta name="description" content="Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement">
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<meta property="og:title" content="Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement"/>
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<meta property="og:description" content="A comprehensive survey on large language model evaluation methods"/>
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<meta name="description" content="Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement">
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<meta property="og:title" content="Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement"/>
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<meta property="og:description" content="A systematic review on large language model evaluation methods"/>
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<meta property="og:url" content="URL OF THE WEBSITE"/>
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<meta property="og:image" content="static/images/overview_00.png" />
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<meta name="twitter:title" content="Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement">
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<meta name="twitter:description" content="A comprehensive survey on large language model evaluation methods">
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<meta name="twitter:title" content="Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement">
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<meta name="twitter:description" content="A systematic review on large language model evaluation methods">
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<meta name="twitter:image" content="static/images/logo-survey.png">
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<meta name="twitter:card" content="summary_large_image">
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<meta name="keywords" content="large language models, LLM, psychometrics, evaluation, validation, enhancement, survey">
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<title>Large Language Model Psychometrics:
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A Comprehensive Survey of
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A Systematic Review of
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Evaluation, Validation, and Enhancement
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</title>
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<div class="container is-max-desktop">
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<div class="columns is-centered">
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<div class="column has-text-centered">
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<h1 class="title is-1 publication-title">Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement</h1>
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<h1 class="title is-1 publication-title">Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement</h1>
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<div class="abstract content">
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<p>
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The survey will be released soon. Stay tuned!
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<!-- The evolving capabilities of large language models (LLMs) have outpaced traditional evaluation methodologies and introduced novel evaluation challenges,
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such as assessing human-like psychological constructs, addressing the limitations
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of static and task-specific benchmarks, and meeting the requirement for human-centered
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evaluation. These challenges intersect with psychometrics, the science
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of quantifying intangible aspects of human psychology. This survey introduces
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and synthesizes the emerging interdisciplinary field of LLM psychometrics, which
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applies psychometric instruments, theories, and principles to evaluate, understand,
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and enhance LLMs. We systematically review the role of psychometrics in shaping
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LLM benchmarking principles, broadening evaluation scopes, refining evaluation
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methodologies, validating assessment processes, and enhancing LLM capabilities.
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The integration of diverse efforts and insights in this paper offers a structured
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framework for researchers from various backgrounds, facilitating a comprehensive
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understanding of this emerging field. We aim to offer insights into developing
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future evaluation paradigms for human-level AI and advance human-centered AI
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psychology for the greater common good. -->
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<pre>
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@article{ye2025llmpsychometrics,
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title={Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement},
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title={Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement},
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author={Ye, Haoran and Jin, Jing and Xie, Yuhang, and Zhang, Xin and Song, Guojie},
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year={2025},
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}
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</pre>
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<script>
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function copyCitation() {
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const citationText = `@article{ye2025llmpsychometrics,
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title={Large Language Model Psychometrics: A Comprehensive Survey of Evaluation, Validation, and Enhancement},
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title={Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement},
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author={Ye, Haoran and Jin, Jing and Xie, Yuhang, and Zhang, Xin and Song, Guojie},
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year={2025},
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}`;

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