BoYu Gao

Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment

Automated grading of student responses still faces numerous challenges, particularly when dealing with complex and ambiguous answers. In particular, large models are prone to scoring bias when handling uncertain responses, and few-shot reasoning methods often lack stability, which limits their appli