Sentiment Analysis on Yelp
95.6AccuracyDecT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DecTn=256, Update model parameters=false2022.12 | 95.6 | — | |
| DecTn (Shots)=162022.12 | 95.4 | — | |
| RLPromptn (Shots)=162022.12 | 95.1 | — | |
| DecTn=64, Update model parameters=false2022.12 | 94.9 | — | |
| DecTn (Shots)=12022.12 | 94.8 | — | |
| PromptBoostingn (Shots)=162022.12 | 94.7 | — | |
| Fine-tuningn=64, Update model parameters=true2022.12 | 94.5 | — | |
| Fine-tuningn=256, Update model parameters=true2022.12 | 94.3 | — | |
| BERT_baseBackbone=BERT-base, Padding=No2022.05 | 94 | 1 | |
| TranskimmerBackbone=BERT-base, Padding=No2022.05 | 93.7 | 2.7 | |
| TR-BERTBackbone=BERT-base, Padding=No2022.05 | 93.6 | 2.26 | |
| BBTv2n (Shots)=162022.12 | 92.9 | — | |
| LATBackbone=BERT-base, Padding=Batch2022.05 | 92.5 | 2.7 | |
| POWER-BERTBackbone=BERT-base, Padding=Sequence2022.05 | 92.1 | 3.05 | |
| BBTn (Shots)=162022.12 | 91.5 | — | |
| MiningClassifier=DistillBERT2023.05 | 90.36 | — | |
| SuperGenClassifier=DistillBERT2023.05 | 89.98 | — | |
| BBTv2n (Shots)=12022.12 | 89.9 | — | |
| BBTn (Shots)=12022.12 | 89.7 | — | |
| ProGenClassifier=DistillBERT2023.05 | 89.39 | — | |
| REGENClassifier=DistillBERT2023.05 | 89 | — | |
| PromptBoostingn (Shots)=12022.12 | 88.7 | — | |
| ZeroGenClassifier=DistillBERT2023.05 | 87.84 | — | |
| Promptn (Shots)=02022.12 | 87.1 | — | |
| StdTM2025.07 | 86.69 | — | |
| GraphTMDepth=22025.07 | 85.24 | — | |
| Zero-shot PromptingEst. Cost=3.8732024.06 | 84.5 | — | |
| GNN2025.07 | 84.16 | — | |
| GraphTMDepth=12025.07 | 84.15 | — | |
| ICLn (Shots)=12022.12 | 81.1 | — | |
| PromptingClassifier=DistillBERT2023.05 | 80.3 | — | |
| ICLn (Shots)=162022.12 | 73.7 | — | |
| RLPromptn (Shots)=12022.12 | 66.3 | — | |
| Alchemist with GPT-3.5Est. Cost=0.0052024.06 | 57.5 | — |