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        <title>Calibrated, Interpretable Automated Scoring with LLM Likelihoods</title>
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            <namePart type="given">Joshua</namePart>
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    <abstract>Paradigms like IRT use measurement equations to model student behavior probabilistically. We investigate an analogous LLM-based approach, the noisy channel model, to compute and compare the conditional likelihoods of student writing and produce auditable token-level inferences about student skills. We compare against other LLM-based methods on accuracy, calibration, and interpretability.</abstract>
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%0 Conference Proceedings
%T Calibrated, Interpretable Automated Scoring with LLM Likelihoods
%A Christie, Thomas
%A Hauru, Markus
%A Rafferty, Anna
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F christie-etal-2026-calibrated
%X Paradigms like IRT use measurement equations to model student behavior probabilistically. We investigate an analogous LLM-based approach, the noisy channel model, to compute and compare the conditional likelihoods of student writing and produce auditable token-level inferences about student skills. We compare against other LLM-based methods on accuracy, calibration, and interpretability.
%U https://aclanthology.org/2026.aimecon-wip.22/
%P 168-176

Markdown (Informal)

[Calibrated, Interpretable Automated Scoring with LLM Likelihoods](https://aclanthology.org/2026.aimecon-wip.22/) (Christie et al., AIME-Con 2026)

• Calibrated, Interpretable Automated Scoring with LLM Likelihoods (Christie et al., AIME-Con 2026)

ACL

• Thomas Christie, Markus Hauru, and Anna Rafferty. 2026. Calibrated, Interpretable Automated Scoring with LLM Likelihoods. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 168–176, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).