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Benchmarks
Multimodal Abstractive Summarization on MM-Sum Pidgin low-resource
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37.91
R-1
SOV-MAS
34.894
35.677
36.46
37.243
Dec 15, 2022
R-1
R-2
R-L
Updated 3d ago
Evaluation Results
Method
Method
Links
R-1
R-2
R-L
SOV-MAS
Training Setting=Multi...
2022.12
37.91
15.3
30.01
VG-mT5
Training Setting=Multi...
2022.12
36.88
14.27
29
mT5
Training Setting=Multi...
2022.12
36.33
13.6
28.29
SOV-MAS
Training Setting=Monol...
2022.12
35.59
13.01
27.49
mT5
Training Setting=Monol...
2022.12
35.22
12.93
27.27
VG-mT5
Training Setting=Monol...
2022.12
35.01
12.67
27.19
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