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Weiqi Luo

Jinan University, Guangdong Institute of Smart Education, Guangdong Institute of Smart Education, College of Cyber Security, Guangzhou, China

19 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Frequency-Aware Mixture of Heterogeneous Experts Framework for Knowledge Tracing
  2. DiffCL: Difference-Aware Contrastive Learning for Automatic Answer Grading with Multi-Level Semantic Modeling
  3. GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
  4. Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation
  5. Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
  6. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
  7. Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing
  8. Denoised Attention and Question-Augmented Representations for Knowledge Tracing
  9. Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data
  10. Modeling Locomotion with Body Angular Movements in Virtual Reality
  11. NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
  12. Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models
  13. What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
  14. Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases
  15. Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation
  16. Generating Privacy-preserving Educational Data Records with Diffusion Model
  17. Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations
  18. On the Logic of Theory Change Iteration of KM-Update, Revised
  19. Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions