BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Benchmark Model Rank Results
abstractive-text-summarization-on-cnn-dailyBART#18ROUGE-1: 44.16ROUGE-2: 21.28ROUGE-L: 40.90
open-domain-question-answering-on-eli5BART#3Rouge-L: 24.3Rouge-1: 30.6Rouge-2: 6.2
question-answering-on-squad11-devBART Base (with text infilling)#42F1: 90.8
text-summarization-on-x-sumBART#6ROUGE-1: 45.14ROUGE-2: 22.27ROUGE-3: 37.25