AI RESEARCH
Agreement Between Large Language Models and Human Raters in Essay Scoring: A Research Synthesis
arXiv CS.CL
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ArXi:2512.14561v2 Announce Type: replace Despite the growing promise of large language models (LLMs) in automated essay scoring (AES), empirical findings regarding their reliability compared to human raters remain mixed. Following the PRISMA 2020 guidelines, we synthesized 65 published and unpublished studies from January 2022 to August 2025 that examined agreement between LLM-generated scores and human ratings. Agreement levels varied substantially both across and within studies, with reported values spanning a wide range.