Logical Reasoning On Winograd Automatic
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| RuGPT-3 Small | 57.9 | TAPE: Assessing Few-shot Russian Language Understanding | |
| RuGPT-3 Medium | 57.2 | TAPE: Assessing Few-shot Russian Language Understanding | |
| Human benchmark | 87.0 | TAPE: Assessing Few-shot Russian Language Understanding | |
| RuGPT-3 Large | 55.5 | TAPE: Assessing Few-shot Russian Language Understanding |
0 of 4 row(s) selected.