Question about potential overfitting

[kang-0909]

Interesting work! I have a question about the experiments, particularly regarding the risk of overfitting.

From my understanding, it seems that the proposed method might encourage overfitting, especially with limited training data. However, in your results, the model seems to generalize well without showing signs of overfitting.

Will the performance continue to improve with the number of iterations? If so, can you explain why it wouldn't overfit?