Text Classification on MR (Micro-F1)
89.15Micro-F1GPT-3
Evaluation results
| Method | Links | |
|---|---|---|
| GPT-3Evaluation Protocol=Few-shot, k=162026.04 | 89.15 | |
| GPT-3Evaluation Protocol=Zero-shot2026.04 | 88.69 | |
| ModTGCNEmbedding Type=Fine-tuned SBERT (F)2026.04 | 88.07 | |
| ModTGCN(F)Embedding Setting=Fine-tuned2026.04 | 88.07 | |
| ModTGCNEmbedding Type=Fine-tuned SBERT (F), Warmup=true2026.04 | 88.04 | |
| LREmbedding Type=Fine-tuned SBERT (F)2026.04 | 87.87 | |
| Linear ProbingEmbedding Type=Fine-tuned SBERT (F)2026.04 | 87.37 | |
| BertGCNDescription=Co-trained BERT with TextGCN2026.04 | 86 | |
| LREmbedding Type=Pre-trained SBERT (P)2026.04 | 83.73 | |
| Linear ProbingEmbedding Type=Pre-trained SBERT (P)2026.04 | 83.49 | |
| ModTGCNEmbedding Type=Pre-trained SBERT (P)2026.04 | 81.45 | |
| ModTGCN(P)Embedding Setting=Pre-trained2026.04 | 81.45 | |
| TensorGCN2026.04 | 77.91 | |
| WCTextGCN2026.04 | 77.85 | |
| TextGCN2026.04 | 76.74 | |
| U-TextGCN2026.04 | 76.41 |