atastrophic forgetting refers to the decline in performance on previously learned tasks when a model overfits the current task.

To address this issue, the authors propose a new method, Prompt Pooling with Teacher Forcing (PP-TF), which stabilizes training by enforcing constraints on the prompt selection mechanism. This leads to a significant improvement in performance over Prompt Pooling.

The paper also establishes a training pipeline that can be used for CL on code models. The authors believe that their 