Image Understanding on Image benchmarks Aggregate
64.82Overall ScoreMRoPE-I
Evaluation Results
| Method | Links | |
|---|---|---|
| MRoPE-IBackbone=Qwen3-VL-8B-Instruct2025.10 | 64.82 | |
| MHRoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 64.63 | |
| MRoPE-I2025.10 | 63.79 | |
| CircleRoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 63.54 | |
| RoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 63.35 | |
| MRoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 62.95 | |
| MHRoPE2025.10 | 62.92 | |
| Vanilla RoPE2025.10 | 62.17 | |
| MRoPE2025.10 | 61.9 | |
| VideoRoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 60.26 | |
| CircleRoPE2025.10 | 60.16 | |
| HoPEBackbone=Qwen3-VL-8B-Instruct2025.10 | 59.96 | |
| HoPE2025.10 | 57.14 | |
| VideoRoPE2025.10 | 57.03 | |
| MRoPE-IModel=Qwen3-VL-4B-Instruct2025.10 | 48.82 | |
| MHRoPEModel=Qwen3-VL-4B-Instruct2025.10 | 48.22 | |
| CircleRoPEModel=Qwen3-VL-4B-Instruct2025.10 | 47.36 | |
| RoPEModel=Qwen3-VL-4B-Instruct2025.10 | 47 | |
| MRoPEModel=Qwen3-VL-4B-Instruct2025.10 | 46.67 | |
| HoPEModel=Qwen3-VL-4B-Instruct2025.10 | 43.2 | |
| VideoRoPEModel=Qwen3-VL-4B-Instruct2025.10 | 42.77 |