Text Classification on Yelp.P (test)
98.63AccuracyXLNet
Evaluation Results
| Method | Links | |
|---|---|---|
| XLNetfine-tuning=true2018.10 | 98.63 | |
| BERT-Largefine-tuning=true2018.10 | 98.11 | |
| ULMFiTfine-tuning=true2018.10 | 97.84 | |
| BERT-FiTfine-tuning=true2018.10 | 97.72 | |
| DPCNNfine-tuning=true2018.10 | 97.36 | |
| CCCapsNetfine-tuning=false, trained from scratch=true2018.10 | 96.48 | |
| Region Emb.fine-tuning=false, trained from scratch=true2018.10 | 96.4 | |
| PINFew-shot=5-shot, Policy LM=OPT-125M2024.07 | 95 | |
| fastTextModel=RNN2023.02 | 94.7 | |
| RETVecModel=RNN2023.02 | 94.7 | |
| RLPromptFew-shot=5-shot, Policy LM=OPT-125M2024.07 | 94.7 | |
| WhitespaceModel=CNN2023.02 | 94.4 | |
| RETVec-rawModel=RNN2023.02 | 94.1 | |
| WhitespaceModel=RNN2023.02 | 93.9 | |
| fastTextModel=CNN2023.02 | 93.9 | |
| SentencePieceModel=CNN2023.02 | 93.8 | |
| fastTextModel=BERT2023.02 | 93.5 | |
| BPEModel=RNN2023.02 | 93.4 | |
| RETVecModel=CNN2023.02 | 93.4 | |
| SentencePieceModel=RNN2023.02 | 93.3 | |
| RETVec-rawModel=BERT2023.02 | 93.2 | |
| BPEModel=CNN2023.02 | 93 | |
| RETVecModel=BERT2023.02 | 92.8 | |
| RETVec-rawModel=CNN2023.02 | 92.5 | |
| WhitespaceModel=BERT2023.02 | 91.6 | |
| BPEModel=BERT2023.02 | 91.6 | |
| SentencePieceModel=BERT2023.02 | 91.3 | |
| In-Context DemonstrationFew-shot=5-shot2024.07 | 89.6 | |
| Soft Prompt TuningFew-shot=5-shot2024.07 | 88.6 | |
| GrIPSFew-shot=5-shot2024.07 | 88.2 | |
| PEZFew-shot=5-shot2024.07 | 85.9 | |
| InstructionsFew-shot=5-shot2024.07 | 84.4 | |
| Manual PromptFew-shot=5-shot2024.07 | 83 | |
| AutoPromptFew-shot=5-shot2024.07 | 79.8 |