AINeutralarXiv – CS AI · 7h ago6/10
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Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models
Researchers demonstrate that vision-language foundation models can achieve 98.4% accuracy in automatically grading handwritten exam answers, compared to previous methods' 88-91%. The approach prioritizes fairness by minimizing false negatives that disadvantage students and shows promise for scalable, automated exam grading without sacrificing pedagogical quality.
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