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Models/Seq2Seq

Seq2Seq

Reported on 66 benchmarks across 12 tasks · 3 papers · 58 SOTA

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

Natural Language Processing44 results

Data-to-Text GenerationonLSMDC-E
BLEU-1· 2015-08-17
14.21
best: 18.52 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
BLEU-2· 2015-08-17
4.56
best: 5.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
BLEU-3· 2015-08-17
1.7
best: 2.51 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
BLEU-4· 2015-08-17
0.7
best: 1.13 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
CIDEr· 2015-08-17
8.69
best: 12.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
METEOR· 2015-08-17
11.01
best: 12.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonLSMDC-E
ROUGE-L· 2015-08-17
19.69
best: 20.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
BLEU-1· 2015-08-17
13.96
best: 22.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
BLEU-2· 2015-08-17
5.57
best: 8.68 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
BLEU-3· 2015-08-17
2.94
best: 4.38 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
BLEU-4· 2015-08-17
1.69
best: 2.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
CIDEr· 2015-08-17
12.04
best: 25.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
METEOR· 2015-08-17
4.54
best: 15.55 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Data-to-Text GenerationonVIST-E
ROUGE-L· 2015-08-17
16.84
best: 23.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
BLEU-1· 2015-08-17
14.21
best: 18.52 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
BLEU-2· 2015-08-17
4.56
best: 5.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
BLEU-3· 2015-08-17
1.7
best: 2.51 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
BLEU-4· 2015-08-17
0.7
best: 1.13 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
CIDEr· 2015-08-17
8.69
best: 12.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
METEOR· 2015-08-17
11.01
best: 12.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonLSMDC-E
ROUGE-L· 2015-08-17
19.69
best: 20.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
BLEU-1· 2015-08-17
13.96
best: 22.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
BLEU-2· 2015-08-17
5.57
best: 8.68 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
BLEU-3· 2015-08-17
2.94
best: 4.38 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
BLEU-4· 2015-08-17
1.69
best: 2.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
CIDEr· 2015-08-17
12.04
best: 25.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
METEOR· 2015-08-17
4.54
best: 15.55 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Visual StorytellingonVIST-E
ROUGE-L· 2015-08-17
16.84
best: 23.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
BLEU-1· 2015-08-17
14.21
best: 18.52 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
BLEU-2· 2015-08-17
4.56
best: 5.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
BLEU-3· 2015-08-17
1.7
best: 2.51 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
BLEU-4· 2015-08-17
0.7
best: 1.13 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
CIDEr· 2015-08-17
8.69
best: 12.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
METEOR· 2015-08-17
11.01
best: 12.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonLSMDC-E
ROUGE-L· 2015-08-17
19.69
best: 20.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
BLEU-1· 2015-08-17
13.96
best: 22.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
BLEU-2· 2015-08-17
5.57
best: 8.68 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
BLEU-3· 2015-08-17
2.94
best: 4.38 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
BLEU-4· 2015-08-17
1.69
best: 2.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
CIDEr· 2015-08-17
12.04
best: 25.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
METEOR· 2015-08-17
4.54
best: 15.55 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Story GenerationonVIST-E
ROUGE-L· 2015-08-17
16.84
best: 23.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Action ParsingonJerichoWorld
Set accuracy
18.1
best: 23.22 (Worldformer)
Inductive knowledge graph completiononJerichoWorld
Set accuracy
14.29
best: 39.15 (Worldformer)

Adversarial14 results

Text GenerationonLSMDC-E
BLEU-1· 2015-08-17
14.21
best: 18.52 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
BLEU-2· 2015-08-17
4.56
best: 5.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
BLEU-3· 2015-08-17
1.7
best: 2.51 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
BLEU-4· 2015-08-17
0.7
best: 1.13 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
CIDEr· 2015-08-17
8.69
best: 12.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
METEOR· 2015-08-17
11.01
best: 12.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonLSMDC-E
ROUGE-L· 2015-08-17
19.69
best: 20.99 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
BLEU-1· 2015-08-17
13.96
best: 22.87 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
BLEU-2· 2015-08-17
5.57
best: 8.68 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
BLEU-3· 2015-08-17
2.94
best: 4.38 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
BLEU-4· 2015-08-17
1.69
best: 2.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
CIDEr· 2015-08-17
12.04
best: 25.41 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
METEOR· 2015-08-17
4.54
best: 15.55 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025
Text GenerationonVIST-E
ROUGE-L· 2015-08-17
16.84
best: 23.61 (MMT)
SOTA
Effective Approaches to Attention-based Neural Machine Translation arXiv:1508.04025

Knowledge Base5 results

Text SummarizationonX-Sum
ROUGE-1· 2018-08-27
28.42
best: 50.3 (Selfmem)
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization arXiv:1808.08745
Text SummarizationonX-Sum
ROUGE-2· 2018-08-27
8.77
best: 26.7 (Selfmem)
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization arXiv:1808.08745
Text SummarizationonX-Sum
ROUGE-3· 2018-08-27
22.48
best: 41.6 (Selfmem)
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization arXiv:1808.08745
Knowledge GraphsonJerichoWorld
Set accuracy
14.29
best: 39.15 (Worldformer)
Knowledge Graph CompletiononJerichoWorld
Set accuracy
14.29
best: 39.15 (Worldformer)

Methodology2 results

3DonBEAT
FID· 2018-10-28
261.3
best: 122.8 (CaMN)
SOTA
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation arXiv:1810.11804
Large Language ModelonJerichoWorld
Set accuracy
14.29
best: 39.15 (Worldformer)

Robots1 result

3D Shape GenerationonBEAT
FID· 2018-10-28
261.3
best: 122.8 (CaMN)
SOTA
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation arXiv:1810.11804