Who Keeps Up with Whom? Assessing GenAI Text Detection Across Version Updates

Ahnaf Chowdhury Niloy, Golnoush Haddadian, Min Kyu Kim


Abstract
Artificial Intelligence use raises academic integrity concerns, yet institutions rely on detection tools of questionable reliability. Rapid version updates to chatbots, detectors, and humanization tools remain unaccounted for in detection research. Across 960 detection scores from two waves, the findings reveal detection outcomes are fundamentally reshaped by these parallel updates.
Anthology ID:
2026.aimecon-main.63
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2026
Address:
Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
560–570
Language:
URL:
https://aclanthology.org/2026.aimecon-main.63/
DOI:
Bibkey:
Cite (ACL):
Ahnaf Chowdhury Niloy, Golnoush Haddadian, and Min Kyu Kim. 2026. Who Keeps Up with Whom? Assessing GenAI Text Detection Across Version Updates. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 560–570, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):
Who Keeps Up with Whom? Assessing GenAI Text Detection Across Version Updates (Niloy et al., AIME-Con 2026)
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PDF:
https://aclanthology.org/2026.aimecon-main.63.pdf