| Paper | Code | EM | F1 | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| FQuAD: French Question Answering Dataset | 82.1 | 92.2 | CamemBERT-Large | 2020-02-14 | |
| FQuAD: French Question Answering Dataset | 79.0 | 89.5 | XLM-RoBERTa-Large | 2020-02-14 | |
| FQuAD: French Question Answering Dataset | 78.4 | 88.4 | CamemBERT-Base | 2020-02-14 | |
| Project PIAF: Building a Native French Question-Answering Dataset | ✓ Link | 77.0 | 88.4 | Camembert-Base-SquadFR-Fquad-Piaf | 2020-07-02 |
| FQuAD: French Question Answering Dataset | 75.3 | 85.9 | XLM-RoBERTa-Base | 2020-02-14 | |
| []() | 75.0 | 85.6 | Fmikaelian-Camembert-Base-Fquad | ||
| On the importance of pre-training data volume for compact language models | 57.2 | 70.71 | LePetit | 2020-10-08 |