Education

CMCD framework tackles data sparsity in cognitive diagnosis by using monotonic data augmentation to improve accuracy and fairness of diagnostic results.

SocraticLM achieves a Socratic teaching paradigm, surpassing GPT-4 by 12%, through a novel multi-agent training pipeline and a comprehensive evaluation system.

First-Glance Off-Policy Selection (FPS) revolutionizes human-centric AI by enabling personalized policy selection for new participants without prior data, improving learning and healthcare outcomes.

IWBVT: A novel instance weighting approach significantly improves model quality in crowdsourcing by mitigating the impact of intractable instances and achieving a bias-variance trade-off.

DisenGCD, a meta multigraph framework, disentangles graph learning for cognitive diagnosis, achieving robust student knowledge assessment.

Collaborative Computerized Adaptive Testing (CCAT) improves student ranking accuracy in online exams by leveraging inter-student information to enhance ranking consistency.

Coral: a novel collaborative cognitive diagnosis model uses disentangled representation learning to improve diagnostic accuracy by leveraging collaborative signals among learners with similar learning…

Autoencoder-like Nonnegative Matrix Co-Factorization (AE-NMCF) enhances student cognitive modeling by accurately estimating knowledge proficiency and predicting exercise performance, leveraging monoto…