Sentiment Analysis on SST-2 (S/A/I Accuracy Profiles)
90.95Acc (20%S)NoiseAL
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| NoiseALBackbone=BERT2025.04 | 90.95 | 89.34 | 91.18 | 89.26 | 91.37 | 90.08 | |
| Co-TeachingBackbone=BERT2025.04 | 86.98 | 79.94 | 87.85 | 79.4 | 82.09 | 67.57 | |
| SCEBackbone=BERT2025.04 | 86.78 | 73.11 | 87.36 | 74.85 | 81.41 | 67.34 | |
| ELRBackbone=BERT2025.04 | 86.76 | 70.58 | 87.33 | 74.33 | 80.78 | 68.49 | |
| DyGenBackbone=BERT2025.04 | 86.69 | 74.27 | 86.44 | 72.37 | 82.89 | 67.76 | |
| CLBackbone=BERT2025.04 | 86.21 | 79.19 | 88.74 | 78.63 | 82.63 | 67.51 | |
| SelfMixBackbone=BERT2025.04 | 83.76 | 76.59 | 85.36 | 79.36 | 82.54 | 67.45 | |
| BERTBackbone=BERT2025.04 | 82.41 | 67.73 | 82.23 | 68.01 | 81.75 | 66.88 |