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Machine Reading Comprehension On Reclor
Métriques
Accuracy
Accuracy (easy)
Accuracy (hard)
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | ||||
|---|---|---|---|---|
| XLNet-large | 56.0 | 75.7 | 40.5 | ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning |
| RoBERTa-large | 55.6 | 75.5 | 40.0 | ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning |
| BERT-large | 49.8 | 72.0 | 32.3 | ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning |
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