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 | 174 | 26.40% |
| Language Modelling | 40 | 6.07% |
| Cross-Lingual Transfer | 34 | 5.16% |
| Language Modeling | 31 | 4.70% |
| Sentence | 25 | 3.79% |
| Text Classification | 17 | 2.58% |
| NER | 16 | 2.43% |
| Natural Language Inference | 14 | 2.12% |
| Zero-Shot Cross-Lingual Transfer | 14 | 2.12% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
