| machine-translation-on-iwslt2015-german | FlowSeq-base | #12 | BLEU score: 24.75 |
| machine-translation-on-wmt2014-english-german | FlowSeq-large (NPD n = 30) | #64 | BLEU score: 23.64 |
| machine-translation-on-wmt2014-english-german | FlowSeq-large (NPD n = 15) | #65 | BLEU score: 23.14 |
| machine-translation-on-wmt2014-english-german | FlowSeq-large (IWD n = 15) | #66 | BLEU score: 22.94 |
| machine-translation-on-wmt2014-english-german | FlowSeq-large | #69 | BLEU score: 20.85 |
| machine-translation-on-wmt2014-english-german | FlowSeq-base | #73 | BLEU score: 18.55 |
| machine-translation-on-wmt2014-german-english | FlowSeq-large (NPD n = 30) | #9 | BLEU score: 28.29 |
| machine-translation-on-wmt2014-german-english | FlowSeq-large (NPD n = 15) | #10 | BLEU score: 27.71 |
| machine-translation-on-wmt2014-german-english | FlowSeq-large (IWD n=15) | #11 | BLEU score: 27.16 |
| machine-translation-on-wmt2014-german-english | FlowSeq-large | #13 | BLEU score: 25.4 |
| machine-translation-on-wmt2014-german-english | FlowSeq-base | #14 | BLEU score: 23.36 |
| machine-translation-on-wmt2016-english-1 | FlowSeq-large (NPD n = 30) | #3 | BLEU score: 32.35 |
| machine-translation-on-wmt2016-english-1 | FlowSeq-large (NPD n=15) | #4 | BLEU score: 31.97 |
| machine-translation-on-wmt2016-english-1 | FlowSeq-large (IWD n = 15) | #5 | BLEU score: 31.08 |
| machine-translation-on-wmt2016-english-1 | FlowSeq-large | #8 | BLEU score: 29.86 |
| machine-translation-on-wmt2016-english-1 | FlowSeq-base | #11 | BLEU score: 29.26 |
| machine-translation-on-wmt2016-romanian | FlowSeq-large (NPD n = 30) | #10 | BLEU score: 32.91 |
| machine-translation-on-wmt2016-romanian | FlowSeq-large (NPD n = 15) | #12 | BLEU score: 32.46 |
| machine-translation-on-wmt2016-romanian | FlowSeq-large (IWD n = 15) | #13 | BLEU score: 32.03 |
| machine-translation-on-wmt2016-romanian | FlowSeq-large | #16 | BLEU score: 30.69 |
| machine-translation-on-wmt2016-romanian | FlowSeq-base | #18 | BLEU score: 30.16 |