Before revision:  By leveraging pre-trained language models, our model achieves a new state-of-the-art performance, ROUGE-L score of 41.5 on CNN/DM dataset. To support automatic evaluation, we also conducted human evaluation and received higher scores relative to both baseline and reference summaries .
After revision:  By leveraging pre-trained language models, our model achieves a new state-of-the-art performance, ROUGE-L score of 41.5 on CNN/DM , using a crowd-sourced human evaluation metric. Interestingly, model-generated summaries receive higher scores relative to both baseline and reference summaries .