arXiv cs.CLPaper
A Human-in-the-Loop Framework for AI-Assisted Scoring in Large-Scale Writing Assessment
This is operational research on a real problem: can LLMs replace human graders at scale? The fact that they tested on 5,000 student responses per test edition and report moderate-to-high alignment with human raters suggests they've cleared a usability bar. For education tech builders, this is proof that LLM-graded assessment works for constrained, rubric-based tasks. For assessment vendors, the next question is whether regulators will accept it.