the paper you might be able to learn more and more features that might be useful for classification so if you have a larger model you might you're gonna learn more kinds of features and then you're going to outperform because you have more chance that these features are going to be useful for classification and I don't think they really make a statement as to why that happens more with the if you have less labels so let's think about this if I have very few labels very very few labels why does it help me even more if I have a big