Papers with psychometric framework

2 papers
Defining and Evaluating Visual Language Models’ Basic Spatial Abilities: A Perspective from Psychometrics (2025.acl-long)

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Challenge: Existing studies assessing the spatial abilities of VLMs lack a solid theoretical foundation and lack measurable data.
Approach: They propose a psychometric framework defining five basic spatial abilities in Visual Language Models.
Outcome: The proposed framework defines five basic spatial abilities in Visual Language Models (VLMs) it provides a comprehensive evaluation benchmark and methodological perspective for embodied AI development .
Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study (2026.acl-long)

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Challenge: a psychometric framework is proposed to quantify and mitigate socially desirable responding (SDR) in questionnaire-based evaluation of large language models.
Approach: They propose a psychometric framework to quantify and mitigate socially desirable responding (SDR) in questionnaire-based evaluation of large language models.
Outcome: The proposed framework quantifies and mitigates socially desirable responding (SDR) in questionnaire-based evaluation of large language models.

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