Mitigating Bias in Automated Essay Scoring for ESL Learners via Contrastive Learning
This work proposes Contrastive Learning with Matched Essay Pairs (CL-MEP), a bi-directional alignment strategy that reduces scoring bias while improving overall accuracy, successfully disentangling valid syntactic complexity from surface-level grammatical errors.
Kevin Fan, Eric Yun
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