Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning

Documents similaires

• A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
  par: Zhang, Hengyuan, et autres
  Publié: (2024)
• Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency
  par: Zhang, Yixuan, et autres
  Publié: (2024)
• Prompt Refinement or Fine-tuning? Best Practices for using LLMs in Computational Social Science Tasks
  par: Møller, Anders Giovanni, et autres
  Publié: (2024)
• Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
  par: Chen, Zhiyu, et autres
  Publié: (2024)
• Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
  par: Zhang, Haode, et autres
  Publié: (2022)