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    <abstract>Using the Facets Model for Severity and Centrality, we analyzed two human raters and 10 LLMs across four ASAP-SAS prompts. LLM centrality was task-dependent, and few-shot prompting reduced centrality inconsistently. Omitting scale-use differences altered severity estimates (r=.47), while MFRM fit diagnostics were harder to interpret in heterogeneous LLM rater pools.</abstract>
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%0 Conference Proceedings
%T Disentangling Severity and Centrality: Rater Effects in LLM-Based Automated Short-Answer Scoring
%A Xiong, Xiaomeng
%A Huggins-Manley, Corinne
%A Shin, Jinnie
%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 xiong-etal-2026-disentangling
%X Using the Facets Model for Severity and Centrality, we analyzed two human raters and 10 LLMs across four ASAP-SAS prompts. LLM centrality was task-dependent, and few-shot prompting reduced centrality inconsistently. Omitting scale-use differences altered severity estimates (r=.47), while MFRM fit diagnostics were harder to interpret in heterogeneous LLM rater pools.
%U https://aclanthology.org/2026.aimecon-sessions.17/
%P 164-179

Markdown (Informal)

[Disentangling Severity and Centrality: Rater Effects in LLM-Based Automated Short-Answer Scoring](https://aclanthology.org/2026.aimecon-sessions.17/) (Xiong et al., AIME-Con 2026)

• Disentangling Severity and Centrality: Rater Effects in LLM-Based Automated Short-Answer Scoring (Xiong et al., AIME-Con 2026)

ACL

• Xiaomeng Xiong, Corinne Huggins-Manley, and Jinnie Shin. 2026. Disentangling Severity and Centrality: Rater Effects in LLM-Based Automated Short-Answer Scoring. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers, pages 164–179, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).