Metric: Accuracy (higher is better)
| # | Model↕ | Accuracy▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | VLAWE | 93.3 | No | Vector of Locally-Aggregated Word Embeddings (VL... | 2019-02-23 | Code |
| 2 | DeBERTa | 90.21 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 3 | RoBERTaGCN | 89.7 | No | BertGCN: Transductive Text Classification by Com... | 2021-05-12 | Code |
| 4 | ERNIE 2.0 (optimized) | 89.53 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 5 | RoBERTa | 89.42 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 6 | ERNIE 2.0 | 88.97 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 7 | BERT | 86.94 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 8 | ALBERTv2 | 86.02 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 9 | DistilBERT | 85.31 | No | Transformers are Short Text Classifiers: A Study... | 2022-11-30 | Code |
| 10 | SSGC | 76.7 | No | - | - | Code |