Repurposing Decoder-Transformer Language Models for Abstractive Summarization
Table 3: Comparison of our methods (lower section) with select existing methods on XSum, as reported in Narayan et al. (2018).
['[BOLD] Method', '[BOLD] R-1', '[BOLD] R-2', '[BOLD] R-L']
As a secondary evaluation of our approach, we train our best model on the XSum dataset Narayan et al. We achieve highly competitive performance relative to models reported in Narayan et al.