Before revision:  Sequential fine-tuning and multi-task learning are two methods for sharing information, but suffer from problems such as catastrophic URLetting and difficulties in balancing multiple tasks.
After revision:  Sequential fine-tuning and multi-task learning are methods aiming to incorporate knowledge from multiple tasks; however, they suffer from catastrophic URLetting and difficulties in balancing multiple tasks.