Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Ru-RoBERTa+TDA | 85.7 | No | Can BERT eat RuCoLA? Topological Data Analysis t... | 2023-04-04 | Code |
| 2 | Ru-BERT+TDA | 80.1 | No | Can BERT eat RuCoLA? Topological Data Analysis t... | 2023-04-04 | Code |
| 3 | ruRoBERTa | 79.34 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |
| 4 | RemBERT | 75.06 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |
| 5 | ruBERT | 74.3 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |
| 6 | ruT5 | 68.41 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |
| 7 | XLM-R | 61.13 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |
| 8 | ruGPT-3 | 53.82 | No | RuCoLA: Russian Corpus of Linguistic Acceptability | 2022-10-23 | Code |