论文揭示LLM人格评估中聚合分数忽略结构相关性的双重本质：聚合倾向与框架依赖几何
arXiv:2607.02368v1 Announce Type: cross Abstract: Evaluations of LLM personas via psychometric questionnaires typically rely on aggregate scores, disc…
研究LLM数字孪生在心理测量上的可比性，为AI人格模拟提供科学评估框架
arXiv:2601.14264v2 Announce Type: replace-cross Abstract: Large language models (LLMs) act as digital twins for human respondents, yet their psychomet…
LLM心理测量评估新视角：揭示自我报告预测行为的条件与原因，为模型行为理解提供理论支撑。
arXiv:2606.12730v1 Announce Type: new Abstract: Anticipating LLM behavioral tendencies from low-cost psychometric probes is critical for safe deployme…
LLM自述心理特质与实际行为大相径庭，25个模型验证存在“言行不一”的自我报告-行为鸿沟。
arXiv:2606.09843v1 Announce Type: cross Abstract: Large language models (LLMs) produce stable self-reports on personality inventories, but these self-…
用生成式投射测试替代自我报告，让LLM心理测量更可靠，摆脱语料污染与方向性偏差
arXiv:2606.00860v1 Announce Type: cross Abstract: Self-report questionnaires remain the prevailing tool for probing the psychological states of person…
人类心理问卷真的能测准大模型行为？这项研究用八个开源模型揭开了方法论缺陷。
arXiv:2509.10078v4 Announce Type: replace-cross Abstract: We examine whether human psychometric questionnaires can serve as reliable tools for charact…
用虚拟受访者进行心理测量项目验证，特质-响应中介模型带来全新范式
arXiv:2507.05890v4 Announce Type: replace-cross Abstract: As psychometric surveys are increasingly used to assess the traits of large language models …
LLM推断的用户状态能信吗？本文提出心理测量框架验证其可靠性。
arXiv:2605.15734v1 Announce Type: new Abstract: The use of large language models to assess user states in conversational and adaptive systems is based…