Continual Learning on SuperNI (O1, O2, avg metrics)
1.87FWT (O1)SAPT
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SAPTBackbone=T5-Large2026.05 | 1.87 | — | — | — | 1.32 | |
| SHLPTBackbone=T5-Large2026.05 | 0.32 | — | — | — | 1.98 | |
| SABER-SPABackbone=T5-Large2026.05 | 0.12 | — | — | — | 0.54 | |
| CODA PromptBackbone=T5-Large2026.05 | -0.65 | — | — | — | -0.87 | |
| LFPT5Backbone=T5-Large2026.05 | -0.78 | — | — | — | -0.44 | |
| SABER-FPPBackbone=T5-Large2026.05 | -1.19 | — | — | — | -0.93 | |
| ReplayBackbone=T5-Large2026.05 | -1.56 | — | — | — | -1.43 | |
| ProgPromptBackbone=T5-Large2026.05 | -3.43 | — | — | — | -4.98 | |
| L2PBackbone=T5-Large2026.05 | -19.23 | — | — | — | -19.54 | |
| InfLoRABackbone=Qwen2.5-3B2025.12 | — | 35.6 | 25.6 | 30.6 | — | |
| InfLoRABackbone=Qwen2.5-7B2025.12 | — | 43.5 | 31 | 37.3 | — | |
| O-LoRABackbone=Qwen2.5-3B2025.12 | — | 31.1 | 29.8 | 30.5 | — | |
| O-LoRABackbone=Qwen2.5-7B2025.12 | — | 34.3 | 32.6 | 33.4 | — | |
| SLAOBackbone=Qwen2.5-3B2025.12 | — | 37.8 | 32.4 | 35.1 | — | |
| SLAOBackbone=Qwen2.5-7B2025.12 | — | 41 | 35.5 | 38.3 | — |