HiLLM-CD: LLM-Enhanced Hierarchical Cognitive Diagnosis

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.