Sentiment Classification on Amazon (test)
92.3AccuracyREGEN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| REGENLearning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Standard Deviation=0.42023.05 | 92.3 | — | — | |
| Mining (Re-implementation)Learning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Concurrent Work=true, Fair Comparison Setup=true, Standard Deviation=0.52023.05 | 92.1 | — | — | |
| MiningLearning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Concurrent Work=true2023.05 | 92 | — | — | |
| LOTClassLearning Paradigm=Reference, Use task-specific corpus=true2023.05 | 91.7 | — | — | |
| SuperGenLearning Paradigm=Zero-shot Learning via Generating Task-specific Datasets, Standard Deviation=0.92023.05 | 91 | — | — | |
| X-ClassLearning Paradigm=Reference, Use task-specific corpus=true2023.05 | 90.4 | — | — | |
| PromptLearning Paradigm=Zero-shot Learning via Direct Inferencing2023.05 | 80.2 | — | — | |
| TE-NLI (Best)Learning Paradigm=Labeled data usage, Use auxiliary labeled data=true2023.05 | 76.7 | — | — | |
| GPT-3Learning Paradigm=Zero-shot Learning via Direct Inferencing, Billion-scale PLM=true2023.05 | 75 | — | — | |
| NSP-BERTLearning Paradigm=Zero-shot Learning via Direct Inferencing2023.05 | 69.4 | — | — | |
| Linformer2021.08 | 66.2 | — | 43.13 | |
| BigBird2021.08 | 66.14 | — | 42.96 | |
| Fastformer2021.08 | 66.13 | — | 43.23 | |
| Linear Transformers2021.08 | 66.12 | — | 43.04 | |
| Poolingformer2021.08 | 66.05 | — | 43 | |
| Longformer2021.08 | 65.45 | — | 42.48 | |
| Transformer2021.08 | 65.32 | — | 42.31 |