Before revision:  While fine-tuning models on additional data has been used to mitigate such biases , a common issue is that of catastrophic URLetting of the original task .
After revision:  While fine-tuning models on additional data has been used to mitigate such biases , a common issue is that of catastrophic URLetting of the original training dataset .