Multimodal Continual Learning on Overall 20 Chunks
61.22MAPStrLoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| StrLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 61.22 | 1.91 | |
| StrLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 60.98 | 1.78 | |
| MoELoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 60.67 | 2.7 | |
| EWCBase Model=InternVL3.5-4B-Pretrained2026.05 | 60.61 | 2.5 | |
| ReplayBase Model=InternVL3.5-4B-Pretrained2026.05 | 60.33 | 2.87 | |
| LoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 60.06 | 2.78 | |
| MoELoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 59.37 | 4.41 | |
| LoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 58.6 | 4.51 | |
| ReplayBase Model=InternVL3.5-8B-Pretrained2026.05 | 58.47 | 4.86 | |
| SMoLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 58.27 | 3.24 | |
| EWCBase Model=InternVL3.5-8B-Pretrained2026.05 | 57.76 | 3.7 | |
| StrLoRABase Model=Gemma3-4B-PT2026.05 | 50.33 | 5.42 | |
| SMoLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 49.75 | 5.1 | |
| ReplayBase Model=Gemma3-4B-PT2026.05 | 47.17 | 7.4 | |
| MoELoRABase Model=Gemma3-4B-PT2026.05 | 46.99 | 6.88 | |
| LoRABase Model=Gemma3-4B-PT2026.05 | 46.59 | 7.28 | |
| EWCBase Model=Gemma3-4B-PT2026.05 | 46.5 | 7.54 | |
| SMoLoRABase Model=Gemma3-4B-PT2026.05 | 44.65 | 7.47 |