@inproceedings{barber-etal-2026-multi,
title = "Multi-Agent {LLM} Annotation and Scoring for Training Fine-Grained K-12 Writing-Feedback Models",
author = "Barber, Justin O and
Hemenway, Michael P and
Bellows, Martha and
Lottridge, Susan",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Coordinated Session Papers",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-sessions.1/",
pages = "1--8",
ISBN = "979-8-9983004-2-4",
abstract = "Fine-grained formative writing feedback needs dense, standards-aligned labels that human annotation cannot supply at scale. We describe a multi-agent LLM pipeline producing verified silver labels, and then train small deterministic transformer scorers. On a Grade 5 pilot these reach Cohen{'}s $\kappa$ up to 0.92 on conventions."
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%0 Conference Proceedings
%T Multi-Agent LLM Annotation and Scoring for Training Fine-Grained K-12 Writing-Feedback Models
%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): 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 barber-etal-2026-multi
%X Fine-grained formative writing feedback needs dense, standards-aligned labels that human annotation cannot supply at scale. We describe a multi-agent LLM pipeline producing verified silver labels, and then train small deterministic transformer scorers. On a Grade 5 pilot these reach Cohen’s ąppa up to 0.92 on conventions.
%U https://aclanthology.org/2026.aimecon-sessions.1/
%P 1-8
Markdown (Informal)
[Multi-Agent LLM Annotation and Scoring for Training Fine-Grained K-12 Writing-Feedback Models](https://aclanthology.org/2026.aimecon-sessions.1/) (Barber et al., AIME-Con 2026)
ACL