@inproceedings{bezirhan-von-davier-2026-anchored,
title = "Anchored Bradley-Terry Calibration Using {LLM} Comparative Judgments",
author = "Bezirhan, Ummugul and
von Davier, Matthias",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Full 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-main.40/",
pages = "365--371",
ISBN = "979-8-9983004-0-0",
abstract = "AI-based comparative judgment was evaluated as a tool for early item difficulty estimation. Three AI judges compared new TIMSS Grade 4 mathematics items with calibrated anchors, with rankings analyzed using a fixed-anchor Bradley-Terry model. Results show meaningful difficulty signals, supporting scalable supplementary use while highlighting anchor coverage and comparison-network design."
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%0 Conference Proceedings
%T Anchored Bradley-Terry Calibration Using LLM Comparative Judgments
%A Bezirhan, Ummugul
%A von Davier, Matthias
%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 bezirhan-von-davier-2026-anchored
%X AI-based comparative judgment was evaluated as a tool for early item difficulty estimation. Three AI judges compared new TIMSS Grade 4 mathematics items with calibrated anchors, with rankings analyzed using a fixed-anchor Bradley-Terry model. Results show meaningful difficulty signals, supporting scalable supplementary use while highlighting anchor coverage and comparison-network design.
%U https://aclanthology.org/2026.aimecon-main.40/
%P 365-371
Markdown (Informal)
[Anchored Bradley-Terry Calibration Using LLM Comparative Judgments](https://aclanthology.org/2026.aimecon-main.40/) (Bezirhan & von Davier, AIME-Con 2026)
ACL
- Ummugul Bezirhan and Matthias von Davier. 2026. Anchored Bradley-Terry Calibration Using LLM Comparative Judgments. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 365–371, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).