Fine-grained Visual Reasoning on V*
89AccuracySeed1.5-VL
Evaluation results
| Method | Links | |
|---|---|---|
| Seed1.5-VLModel=Seed1.5-VL, Training Strategy=Reference2025.10 | 89 | |
| Qwen2.5-VL-72B-InstructModel=Qwen2.5-VL-72B-Instruct, Training Strategy=Reference2025.10 | 86.4 | |
| Qwen2.5-VL-32B-InstructModel=Qwen2.5-VL-32B-Instruct, Training Strategy=Reference2025.10 | 82.72 | |
| REWARDMAPModel=Qwen2.5-VL-7B-Instruct, Training Strategy=REWARDMAP2025.10 | 80.1 | |
| Qwen2.5-VL-7B-InstructModel=Qwen2.5-VL-7B-Instruct, Training Strategy=Base Model2025.10 | 78.01 | |
| Qwen2.5-VL-7B-Instruct + SFT -> RLModel=Qwen2.5-VL-7B-Instruct, Training Strategy=SFT -> RL Baseline2025.10 | 78.01 | |
| Kimi-VL-A3B-InstructModel=Kimi-VL-A3B-Instruct, Training Strategy=Reference2025.10 | 59.16 | |
| Qwen2.5-VL-3B-InstructModel=Qwen2.5-VL-3B-Instruct, Training Strategy=Reference2025.10 | 58.12 |