Using a Teacher-Student model, AutoPerft employs a strong reference engine (teacher) to verify the moves generated by a weaker engine (student) for a given set of positions. This approach reduces the time taken to pinpoint bugs by bisecting the moves where the engines differ, highlighting missing and extra moves generated by the student engine.