Multimodal Reward Modeling on VL-RewardBench
77.15Accuracy
EGT
Updated 4d ago
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
2026.02 | 77.15 | - | - | - | - | |
2026.02 | 74.9 | 72.9 | 59.1 | 85.2 | 74.4 | |
2026.02 | 72.89 | - | - | - | - | |
2026.02 | 71.9 | 72 | 58 | 77 | 81 | |
| 66.31 | - | - | - | - | ||
2026.02 | 65.8 | - | - | - | - | |
2026.02 | 65.8 | - | - | - | - | |
2026.02 | 65.8 | 62.4 | 49.6 | 67.6 | 70.5 | |
2026.02 | 57.3 | 54.9 | 45.3 | 58.6 | 60.9 | |
2026.02 | 53.2 | 50.9 | 40.9 | 54.3 | 57.4 | |
2026.02 | 50.2 | 49.7 | 41.4 | 48.6 | 59.3 | |
2026.02 | 50.15 | - | - | - | - | |
2026.02 | 44.8 | 44.8 | 33.1 | 41.3 | 59.9 | |
2026.02 | 42.4 | 44.2 | 39.2 | 55.8 | 37.5 | |
2026.02 | 39.5 | - | - | - | - | |
2026.02 | 19.04 | - | - | - | - | |
2026.02 | 16.48 | - | - | - | - |