arXiv:2509.08355v1 Announce Type: new
Abstract: In high-stakes English Language Assessments, low-skill test takers may employ memorized materials called “templates” on essay questions to “game” or fool the automated scoring system. In this study, we introduce the automated detection of inauthentic, templated responses (AuDITR) task, describe a machine learning-based approach to this task and illustrate the importance of regularly updating these models in production.
