1. Big models do well due to lottery ticket hypothesis. 
2. For a small model, mimicking a smoothed distribution is easier than mimicking a non-smoothed distribution.

This is an intuition and not a theoretical proof. Perhaps the masters @JeffDean @geoffreyhinton and @OriolVinyalsML can point us to works on theoretical proofs. I remember something on dark knowledge by master Hinton.