Relation Classification on Wiki80 K=16 original (low-resource)
0.833Micro F1GenPT (RoBERTa)
Evaluation Results
| Method | Links | |
|---|---|---|
| GenPT (RoBERTa)Learning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 0.833 | |
| GenPT (BART)Learning Paradigm=Prompt Tuning, Backbone=BART2022.10 | 0.824 | |
| KnowPromptLearning Paradigm=Prompt Tuning, Backbone=RoBERTa2022.10 | 0.822 | |
| GenPT (T5)Learning Paradigm=Prompt Tuning, Backbone=T52022.10 | 0.82 | |
| TANLLearning Paradigm=Fine-tuning, Backbone=T52022.10 | 0.779 | |
| TYP MarkerLearning Paradigm=Fine-tuning, Backbone=RoBERTa2022.10 | 0.776 | |
| LUKELearning Paradigm=Fine-tuning, Backbone=LUKE2022.10 | 0.716 | |
| SpanBERTLearning Paradigm=Fine-tuning, Backbone=SpanBERT2022.10 | 0.702 | |
| GDPNetLearning Paradigm=Fine-tuning2022.10 | 0.612 |