Named Entity Recognition on Wiki
68F1 ScoreCuckoo
Evaluation Results
| Method | Links | |
|---|---|---|
| CuckooSample Size=512 Samples, Continually Pretrained=false2025.10 | 68 | |
| RoBERTa-LargeSample Size=512 Samples, Continually Pretrained=false2025.10 | 60 | |
| Qwen3-0.6BSample Size=512 Samples, Continually Pretrained=false2025.10 | 57 | |
| Qwen3-0.6BSample Size=512 Samples, Continually Pretrained=true2025.10 | 55 | |
| GPT-4o2025.10 | 53 | |
| Gemma3-1B-ItSample Size=512 Samples, Continually Pretrained=true2025.10 | 45 | |
| Gemma3-1B-ItSample Size=512 Samples, Continually Pretrained=false2025.10 | 43 | |
| OursShots=5-shot2022.04 | 31.36 | |
| OursShots=1-shot2022.04 | 17.54 | |
| L-TapNet+CDTShots=1-shot2022.04 | 12.04 | |
| L-TapNet+CDTShots=5-shot2022.04 | 11.65 | |
| SimBERTShots=5-shot2022.04 | 10.63 | |
| ProtoBERTShots=5-shot2022.04 | 9.54 | |
| SimBERTShots=1-shot2022.04 | 6.91 | |
| Matching NetworkShots=5-shot2022.04 | 5.58 | |
| Matching NetworkShots=1-shot2022.04 | 4.73 | |
| ProtoBERTShots=1-shot2022.04 | 3.89 | |
| TransferBERTShots=5-shot2022.04 | 3.62 | |
| CuckooSample Size=64 Samples, Continually Pretrained=false2025.10 | 3 | |
| Gemma3-1B-ItSample Size=64 Samples, Continually Pretrained=true2025.10 | 2 | |
| TransferBERTShots=1-shot2022.04 | 0.57 | |
| RoBERTa-LargeSample Size=64 Samples, Continually Pretrained=false2025.10 | 0 | |
| Qwen3-0.6BSample Size=64 Samples, Continually Pretrained=false2025.10 | 0 | |
| Qwen3-0.6BSample Size=64 Samples, Continually Pretrained=true2025.10 | 0 | |
| Gemma3-1B-ItSample Size=64 Samples, Continually Pretrained=false2025.10 | 0 |