AI essay feedback changes strong students' quotes more, due to two causes
A follow-up audit of GLM-4.7's feedback on 8,946 IELTS essays examined why the model alters words inside student quotes more often on strong essays than on weak ones. The analysis found two contributing causes: weak essays have more quotes excluded as suggested rewrites, which lowers their changed-quote rate, and strong essays still show a genuine higher rate of changed words among close matches. Changed quotes were about equally likely to be loose near-misses in both bands, so looseness does not explain the gap. The author notes the study cannot determine from counts alone whether close matches are true misquotes or suggested phrasing, which requires human review. The practical takeaway is that proficiency band does not reliably indicate whether a short flagged quote is a misquote, though shorter quotes still warrant checking first. The plan, code and counts are publicly available, and the work covers only one model on one exam.
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