Multi-Inrerleave

Reported on 6 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Question AnsweringonELI5
Rouge-1· 2019-11-21
23.32
best: 30.6 (BART)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728
Question AnsweringonELI5
Rouge-2· 2019-11-21
4.79
best: 10.36 (QG)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728
Question AnsweringonELI5
Rouge-L· 2019-11-21
14.63
best: 26.9 (Fourier Transformer)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728
Open-Domain Question AnsweringonELI5
Rouge-1· 2019-11-21
23.32
best: 30.6 (BART)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728
Open-Domain Question AnsweringonELI5
Rouge-2· 2019-11-21
4.79
best: 10.36 (QG)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728
Open-Domain Question AnsweringonELI5
Rouge-L· 2019-11-21
14.63
best: 26.9 (Fourier Transformer)
Improving Conditioning in Context-Aware Sequence to Sequence Models arXiv:1911.09728