Cross Lingual Question Answering On Xquad
Metrics
Average F1
Results
Performance results of various models on this benchmark
Model Name | Average F1 | Paper Title | Repository |
|---|---|---|---|
| mLUKE-E | 74.2 | mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models | - |
| Coupled | - | Rethinking embedding coupling in pre-trained language models | - |
| ByT5 XXL | - | ByT5: Towards a token-free future with pre-trained byte-to-byte models | - |
| Decoupled | - | Rethinking embedding coupling in pre-trained language models | - |
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