Multimodal Reward Modeling on MM-RLHF-Reward Bench
82.94Accuracy
Proxy-GRM-RL
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.03 | 82.94 | 56.52 | |
2026.03 | 82.94 | 56.52 | |
2026.03 | 82.35 | 65.22 | |
2026.03 | 81.76 | 58.7 | |
2026.03 | 80.59 | 54.35 | |
2026.03 | 79.41 | 52.17 | |
2026.03 | 71.18 | 50 | |
| 62.94 | 26.11 | ||
2026.03 | 58.23 | 26.01 | |
2026.03 | 48.23 | 13.04 | |
2026.03 | 35.29 | 10.86 | |
2026.03 | 34.7 | 6.52 | |
2026.03 | 20.58 | 2.78 | |
2026.03 | 17.1 | 1.76 |