Vision-Language In-Context Learning on VL-ICL Bench Fast Open MiniImageNet (test)
100Top-1 AccuracyReVisIT (GPT-4.1)
Evaluation Results
| Method | Links | |
|---|---|---|
| ReVisIT (GPT-4.1)K (shots per class)=22026.07 | 100 | |
| ReVisIT (GPT-4.1)K (shots per class)=42026.07 | 100 | |
| ReVisIT (Doubao-1.5)K (shots per class)=42026.07 | 100 | |
| ReVisIT (Doubao-1.5)K (shots per class)=22026.07 | 99.5 | |
| LLaVA-OneVision-72BK (shots per class)=42026.07 | 98.7 | |
| ReVisIT (Qwen3-VL-30B, open)K (shots per class)=42026.07 | 98.5 | |
| ReVisIT (Doubao-1.5)K (shots per class)=12026.07 | 97.5 | |
| ReVisIT (GPT-4.1)K (shots per class)=12026.07 | 96.5 | |
| ReVisIT (Qwen3-VL-30B, open)K (shots per class)=22026.07 | 95 | |
| ReVisIT (Qwen3-VL-30B, open)K (shots per class)=12026.07 | 80 | |
| GPT-4VK (shots per class)=42026.07 | 78 | |
| IDEFICS-80BK (shots per class)=42026.07 | 62.5 | |
| Qwen-VL-ChatK (shots per class)=42026.07 | 58 | |
| ReVisIT (Qwen3-VL-30B, open)K (shots per class)=02026.07 | 19.5 |