Models trained with GOLC showed better ROUGE scores than those of maximum loglikelihood based methods while generating summaries satisfying the length constraint.
to the approximately 20% and 50% of overlength summaries generated by the other state-ofthe-art models, our method only generated 6.70% of overlength summaries on CNN/Daily and 7.8% on long summary of Mainichi while improving ROUGE scores.