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        <title>Detecting Invalid Responses in Automated Essay Scoring with Fine-Tuned Large Language Models</title>
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    <abstract>This study compares generative models Gemma and Qwen with ModernBERT and Mahalanobis-LOF for invalid-response detection in automated essay scoring. Qwen maintained high recall while reducing false invalid flags on a representative test set and detected some fluent off-topic responses in a matched diagnostic set. Fluent off-topic detection remained difficult.</abstract>
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%0 Conference Proceedings
%T Detecting Invalid Responses in Automated Essay Scoring with Fine-Tuned Large Language Models
%A Kim, YoungKoung
%A Ormerod, Christopher
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F kim-ormerod-2026-detecting
%X This study compares generative models Gemma and Qwen with ModernBERT and Mahalanobis-LOF for invalid-response detection in automated essay scoring. Qwen maintained high recall while reducing false invalid flags on a representative test set and detected some fluent off-topic responses in a matched diagnostic set. Fluent off-topic detection remained difficult.
%U https://aclanthology.org/2026.aimecon-sessions.4/
%P 31-38

Markdown (Informal)

[Detecting Invalid Responses in Automated Essay Scoring with Fine-Tuned Large Language Models](https://aclanthology.org/2026.aimecon-sessions.4/) (Kim & Ormerod, AIME-Con 2026)

• Detecting Invalid Responses in Automated Essay Scoring with Fine-Tuned Large Language Models (Kim & Ormerod, AIME-Con 2026)

ACL

• YoungKoung Kim and Christopher Ormerod. 2026. Detecting Invalid Responses in Automated Essay Scoring with Fine-Tuned Large Language Models. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 31–38, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).