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Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach, Tuo Zhao's group.
- They study the setting of
finetuning with weak supervisionor without any labeled data - Issues: how to prevent overfitting to noise?
- A contrastive self-learning framework: contrastive regularization and confidence-based weighting
- They study the setting of