Multimodal Continual Learning on Overall 15 Chunks
59.99MAPStrLoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| StrLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 59.99 | 1.82 | |
| StrLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 59.85 | 1.46 | |
| MoELoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 59.49 | 2.24 | |
| EWCBase Model=InternVL3.5-4B-Pretrained2026.05 | 59.46 | 2.07 | |
| ReplayBase Model=InternVL3.5-4B-Pretrained2026.05 | 59.09 | 2.69 | |
| LoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 58.79 | 2.59 | |
| MoELoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 58.27 | 3.9 | |
| LoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 57.34 | 3.8 | |
| ReplayBase Model=InternVL3.5-8B-Pretrained2026.05 | 57.28 | 4.15 | |
| SMoLoRABase Model=InternVL3.5-4B-Pretrained2026.05 | 56.65 | 2.94 | |
| EWCBase Model=InternVL3.5-8B-Pretrained2026.05 | 56.55 | 3.13 | |
| StrLoRABase Model=Gemma3-4B-PT2026.05 | 49.35 | 5.58 | |
| SMoLoRABase Model=InternVL3.5-8B-Pretrained2026.05 | 47.69 | 4.62 | |
| ReplayBase Model=Gemma3-4B-PT2026.05 | 45.07 | 8.79 | |
| MoELoRABase Model=Gemma3-4B-PT2026.05 | 44.76 | 6.11 | |
| LoRABase Model=Gemma3-4B-PT2026.05 | 44.57 | 6.45 | |
| EWCBase Model=Gemma3-4B-PT2026.05 | 44.28 | 7.09 | |
| SMoLoRABase Model=Gemma3-4B-PT2026.05 | 42.28 | 6.24 |