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Data To Text Generation On Xalign
Metrics
BLEU4
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Fact-aware embedding with mT5 | 29.27 | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages | - |
| Bi-lingual mT5 | 25.88 | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages | - |
| mT5 | 25 | XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages | |
| Vanilla Transformer | 19.9 | XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages | |
| Translate-Output mT5 | 18.91 | XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages | - |
| Graph Attention Network Encoder +Transformer Decoder | 18.3 | XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages |
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