| abstractive-text-summarization-on-cnn-daily | Dynamic Conv | #35 | ROUGE-1: 39.84ROUGE-2: 16.25ROUGE-L: 36.73 |
| document-summarization-on-cnn-daily-mail | DynamicConv | #19 | ROUGE-1: 39.84ROUGE-2: 16.25ROUGE-L: 36.73 |
| document-summarization-on-cnn-daily-mail | LightConv | #20 | ROUGE-1: 39.52ROUGE-2: 15.97ROUGE-L: 36.51 |
| language-modelling-on-one-billion-word | DynamicConv | #14 | PPL: 26.67Number of params: 0.34B |
| machine-translation-on-iwslt2014-german | DynamicConv | #22 | BLEU score: 35.2 |
| machine-translation-on-iwslt2014-german | LightConv | #23 | BLEU score: 34.8 |
| machine-translation-on-wmt2014-english-french | DynamicConv | #13 | BLEU score: 43.2 |
| machine-translation-on-wmt2014-english-french | LightConv | #15 | BLEU score: 43.1 |
| machine-translation-on-wmt2014-english-german | DynamicConv | #18 | BLEU score: 29.7Number of Params: 213M |
| machine-translation-on-wmt2014-english-german | LightConv | #33 | BLEU score: 28.9Number of Params: 202M |