| SST2 (test) | PrivateLoRA | Accuracy96 | | 214 | 3d ago |
| SST-2 | RoBERTa Large | Accuracy95.99 | | 174 | 2d ago |
| MR | RoBERTa (Gao et al., 2021) | Accuracy90.8 | | 148 | 2d ago |
| IMDB (test) | Our best (three tv-embeddings) | Error Rate0.0651 | | 144 | 3d ago |
| MR (test) | | Accuracy90.8 | | 142 | 3d ago |
| CR | BYTE MLSTM | Accuracy91.4 | | 142 | 2d ago |
| Stanford Sentiment Treebank SST-2 (test) | byte mLSTM | Accuracy91.8 | | 99 | 3d ago |
| SST-2 64 instances (test) | | Accuracy92.55 | | 80 | 3d ago |
| CR (test) | UniFew_meta | Mean Accuracy92.7 | | 58 | 3d ago |
| Yelp (test) | ICL-gold | Accuracy96.4 | | 46 | 3d ago |
| IMDB | SentriLlama 3.2 (3B) Instruct | Accuracy95.79 | | 41 | 3d ago |
| Bangla (test) | GETR-GAT + HAL + TET | Macro F181 | | 39 | 3d ago |
| SST (test) | 8k mLSTM | Accuracy93.8 | | 37 | 3d ago |
| Yelp Polarity (test) | BERT-ITPT-FiT | Error Rate1.81 | | 37 | 3d ago |
| Marathi (test) | GETR-GAT + HAL | Macro F187 | | 34 | 3d ago |
| Tweet (test) | ICL-gold | Accuracy48 | | 34 | 3d ago |
| Yelp5 (test) | ICL-gold | Accuracy98.5 | | 34 | 3d ago |
| Amz5 (test) | ICL-gold | Accuracy97 | | 34 | 3d ago |
| Sentiment classification | LTV | Acc94.5 | | 32 | 3d ago |
| SST-5 | LS | Accuracy70.67 | | 31 | 3d ago |
| Laptop14 | BOOSTAUG | Accuracy85.11 | | 28 | 3d ago |
| Amz (test) | ICL-gold | Accuracy95.8 | | 25 | 3d ago |
| SST-2 | UAT | Delta Accuracy0.05 | | 24 | 3d ago |
| CR (Entire dataset) | ZS-SC (Top-5)* | Accuracy81.45 | | 24 | 3d ago |
| MR | ZS-SC (Top-3)* | Accuracy72.96 | | 24 | 3d ago |
