Before revision:  In all setups tested, our method boosts the average score of base models by a large margin of 4 points, as well as consistently outperforms the state-of-the-art.
After revision:  In all setups tested, our method boosts the average score of base models by a large margin of 4.7 points, as well as consistently outperforms the state-of-the-art.