Personalized Reward Modeling on PRISM Unseen
0.652User-level Accuracy
MRM
Updated 4d ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.01 | 0.652 | |
2026.01 | 0.649 | |
2026.01 | 0.645 | |
2026.01 | 0.642 | |
2026.01 | 0.642 | |
2026.01 | 0.64 | |
2026.01 | 0.634 | |
2026.01 | 0.631 | |
2026.01 | 0.614 | |
2026.01 | 0.601 | |
2026.01 | 0.595 |