3 papers
cs.LG2026
BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation
Qing Yang, Yuhao Jiang, Rui Wang +6
Exercise recommendation focuses on personalized exercise selection conditioned on students' learning history, personal interests, and other individualized characteristics. Despite…
cs.CL2023
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Yu Zhang, Hao Cheng, Zhihong Shen +3
Scientific literature understanding tasks have gained significant attention due to their potential to accelerate scientific discovery. Pre-trained language models (LMs) have shown…
cs.LG2020
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
Yejiang Wang, Yuhai Zhao, Zhengkui Wang +1
Multi-graph multi-label learning (\textsc{Mgml}) is a supervised learning framework, which aims to learn a multi-label classifier from a set of labeled bags each containing a numbe…