Sentiment Classification
94.5AccLTV
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LTVPrompt=5-shot2025.02 | 94.5 | — | — | — | |
| TVPrompt=5-shot2025.02 | 77.1 | — | — | — | |
| LoRAPrompt=5-shot2025.02 | 75.9 | — | — | — | |
| TransformerPrompt=5-shot2025.02 | 74.6 | — | — | — | |
| SVPrompt=5-shot2025.02 | 74.2 | — | — | — | |
| ICVPrompt=5-shot2025.02 | 72.5 | — | — | — | |
| FVPrompt=5-shot2025.02 | 69.5 | — | — | — | |
| LTVPrompt=Zero-shot2025.02 | 10.9 | — | — | — | |
| ICVPrompt=Zero-shot2025.02 | 4.8 | — | — | — | |
| Quantum Enhanced LLM (MerLin Reproduction)Model Type=Quantum Enhanced2026.02 | 0.89 | — | — | — | |
| Classical LLMModel Type=Classical2026.02 | 0.89 | — | — | — | |
| BLINDBackbone=DeBERTa2022.12 | 0.782 | 0.243 | 0.028 | 0.022 | |
| JTTBackbone=DeBERTa2022.12 | 0.78 | 0.191 | 0.013 | 0.014 | |
| ControlBackbone=DeBERTa2022.12 | 0.78 | 0.253 | 0.038 | 0.025 | |
| FinetunedBackbone=BERT2022.12 | 0.779 | 0.267 | 0.045 | 0.027 | |
| ControlBackbone=BERT2022.12 | 0.776 | 0.48 | 0.046 | 0.026 | |
| FinetunedBackbone=DeBERTa2022.12 | 0.775 | 0.27 | 0.047 | 0.032 | |
| JTTBackbone=BERT2022.12 | 0.767 | 0.194 | 0.016 | 0.016 | |
| DFL-demogBackbone=DeBERTa2022.12 | 0.766 | 0.177 | 0.009 | 0.008 | |
| FairBatchBackbone=DeBERTa2022.12 | 0.763 | 0.203 | 0.016 | 0.017 | |
| DFL-demogBackbone=BERT2022.12 | 0.762 | 0.124 | 0 | 0.003 | |
| FairBatchBackbone=BERT2022.12 | 0.761 | 0.21 | 0.019 | 0.016 | |
| BLINDBackbone=BERT2022.12 | 0.761 | 0.24 | 0.03 | 0.021 | |
| INLPBackbone=BERT2022.12 | 0.756 | 0.196 | 0.022 | 0.014 | |
| RLACEBackbone=DeBERTa2022.12 | 0.748 | 0.168 | 0.016 | 0.011 | |
| RLACEBackbone=BERT2022.12 | 0.735 | 0.142 | 0.01 | 0.008 | |
| LoRAPrompt=Zero-shot2025.02 | 0.7 | — | — | — | |
| INLPBackbone=DeBERTa2022.12 | 0.633 | 0.086 | 0.01 | 0.015 | |
| TransformerPrompt=Zero-shot2025.02 | 0 | — | — | — | |
| FVPrompt=Zero-shot2025.02 | 0 | — | — | — | |
| SVPrompt=Zero-shot2025.02 | 0 | — | — | — | |
| TVPrompt=Zero-shot2025.02 | 0 | — | — | — |