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    <abstract>This study evaluated whether visual embeddings from SigLIP and DINOv2 could be used to simulate responses to Figure Matrices items. Models predicted response probabilities using item screenshots and examinee ability estimates. Results showed moderate probability recovery but limited item difficulty recovery, indicating promise for early screening but not calibration replacement.</abstract>
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%0 Conference Proceedings
%T Simulating Examinee Responses to Figure Matrices Items Using VLMs for Item Evaluation
%A Demirkaya, Onur
%A Johnson, Evelyn
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-0-0
%F demirkaya-johnson-2026-simulating
%X This study evaluated whether visual embeddings from SigLIP and DINOv2 could be used to simulate responses to Figure Matrices items. Models predicted response probabilities using item screenshots and examinee ability estimates. Results showed moderate probability recovery but limited item difficulty recovery, indicating promise for early screening but not calibration replacement.
%U https://aclanthology.org/2026.aimecon-main.56/
%P 497-505

Markdown (Informal)

[Simulating Examinee Responses to Figure Matrices Items Using VLMs for Item Evaluation](https://aclanthology.org/2026.aimecon-main.56/) (Demirkaya & Johnson, AIME-Con 2026)

• Simulating Examinee Responses to Figure Matrices Items Using VLMs for Item Evaluation (Demirkaya & Johnson, AIME-Con 2026)

ACL

• Onur Demirkaya and Evelyn Johnson. 2026. Simulating Examinee Responses to Figure Matrices Items Using VLMs for Item Evaluation. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 497–505, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).