HiLLM-CD: LLM-Enhanced Hierarchical Cognitive Diagnosis
Yuquan Xie, Wanqi Yang, Bo Zhang, Zekun Li, Lei Wang, Ming Yang, Yang Gao
2026年份
摘要
Cognitive diagnosis (CD) aims to infer students' latent proficiencies from their exercise responses. While most existing approaches are optimized primarily for response prediction, such prediction-oriented training can yield less reliable proficiency. Moreover, representing proficiency as independent concept-wise variables overlooks the relations among concepts, often resulting in fragmented and incoherent diagnoses. To address these issues, we represent each student as an explicit concept tree with node-wise proficiencies, enabling coarse-to-fine diagnosis with explicit concept relations.
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