Sentiment Analysis on MR (Average Accuracy, Worst-case Accuracy, Std Dev)
89.6Avg AccuracyMPD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MPD2024.06 | 89.6 | — | 0.2 | |
| DP2O2024.06 | 88.6 | — | 0.9 | |
| TEMPERA2024.06 | 88 | — | 1.1 | |
| PETStrategy=Best2022.04 | 86.4 | 82 | 1.6 | |
| PERFECTInitialization=random2022.04 | 86.3 | 81.4 | 1.6 | |
| PETStrategy=Average2022.04 | 85.9 | 79 | 2.1 | |
| bitfit+mteMode=Ablation2022.04 | 85.6 | 80.5 | 1.9 | |
| PERFECTInitialization=prototype-based2022.04 | 85.4 | 75.8 | 3.3 | |
| Logan IV et al. (2021)2022.04 | 84.9 | 76.2 | 3.2 | |
| FINETUNE2022.04 | 77.7 | 66.8 | 4.6 | |
| prompt+mteMode=Ablation2022.04 | 66.6 | 49.6 | 7.3 |