Keyue Zhang

Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning

Data augmentation is expected to bring about unseen features of training set, enhancing the model’s ability to generalize in situations where data is limited. Generative image models trained on large web-crawled datasets such as LAION are known to produce images with stereotypes and imperceptible bi…