Question Answering On Codah
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| BERT Large | 69.6 | CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense | |
| G-DAUG-Combo + RoBERTa-Large | 84.0 | Generative Data Augmentation for Commonsense Reasoning |
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