Before revision:  Experiments on two cross-domain datasets show that MLS outperforms baseline methods over a range of success metrics including ROUGE and METEOR. We observed an improvement of approximately 4\% in both metrics over the state-of-art convolutional network at lower budgets. Results from a human evaluation study also establish the effectiveness of MLS in generating complete coherent summaries at arbitrary compression budgets .
After revision:  Experiments on two cross-domain datasets show that MLS outperforms strong baselines by up to 14.70\% in the METEOR score. Human evaluation of the summaries also suggests that they capture the key concepts of the document at various length-budgets .