Multimodal Reward Modeling on MM-RLHF-RewardBench
85.88Accuracy
EGT
Updated 4d ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.02 | 85.88 | |
| 82.35 | ||
2026.02 | 82 | |
2026.02 | 80.59 | |
2026.02 | 71.18 | |
2026.02 | 58.23 | |
2026.02 | 48.23 | |
2026.02 | 20.58 | |
2026.02 | 17.1 |
EGT
| Method | Links | |
|---|---|---|
2026.02 | 85.88 | |
| 82.35 | ||
2026.02 | 82 | |
2026.02 | 80.59 | |
2026.02 | 71.18 | |
2026.02 | 58.23 | |
2026.02 | 48.23 | |
2026.02 | 20.58 | |
2026.02 | 17.1 |