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    <abstract>We compare long-context architectures (ModernBERT, Longformer, and causal and bidirectional Mamba) for data-efficient automated essay scoring across four training sizes on ASAP-2. Bidirectional Mamba matches the transformers. Deployment readiness depends more on label quantity (rising from 60% to 84% as training grows from 128 to 512 essays) than on backbone choice.</abstract>
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%0 Conference Proceedings
%T Long-Context Transformer and State-Space Architectures for Data-Efficient Automated Essay Scoring
%A Barber, Justin O.
%A Hemenway, Michael P.
%A Bellows, Martha
%A Lottridge, Susan
%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 barber-etal-2026-long
%X We compare long-context architectures (ModernBERT, Longformer, and causal and bidirectional Mamba) for data-efficient automated essay scoring across four training sizes on ASAP-2. Bidirectional Mamba matches the transformers. Deployment readiness depends more on label quantity (rising from 60% to 84% as training grows from 128 to 512 essays) than on backbone choice.
%U https://aclanthology.org/2026.aimecon-main.46/
%P 413-420

Markdown (Informal)

[Long-Context Transformer and State-Space Architectures for Data-Efficient Automated Essay Scoring](https://aclanthology.org/2026.aimecon-main.46/) (Barber et al., AIME-Con 2026)

• Long-Context Transformer and State-Space Architectures for Data-Efficient Automated Essay Scoring (Barber et al., AIME-Con 2026)

ACL

• Justin O Barber, Michael P Hemenway, Martha Bellows, and Susan Lottridge. 2026. Long-Context Transformer and State-Space Architectures for Data-Efficient Automated Essay Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 413–420, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).