Language Models
XLM-R
Introduced by Conneau et al. in Unsupervised Cross-lingual Representation Learning at Scale
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| XLM-R | 160 | 28.02% |
| Language Modelling | 37 | 6.48% |
| Cross-Lingual Transfer | 32 | 5.60% |
| Sentence | 24 | 4.20% |
| Text Classification | 17 | 2.98% |
| Zero-Shot Cross-Lingual Transfer | 14 | 2.45% |
| NER | 14 | 2.45% |
| Classification | 13 | 2.28% |
| Named Entity Recognition (NER) | 12 | 2.10% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
