Before revision:  The resulting model can attain much more effective commonsense reasoning capability, achieving state-of-the-art results in the CommonsenseQA dataset with an accuracy of 80.7\% (single model) and 83.3\% (ensemble model) on the official leaderboard .
After revision:  The resulting model can attain much more effective commonsense reasoning capability, achieving state-of-the-art results in the CommonsenseQA dataset and the best result among non-generative models in OpenBookQA .