Synthetic Data Generation on CIFAR-10 (FID, Entropy, KL Divergence, Variance)
35.9FIDPluralistic curation
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Pluralistic curationRetraining Setting=Balanced multi-preference retraining, Number of Preferences=Five, q=0.202026.05 | 35.9 | 1.687 | 0.616 | 0.8 | 0.85 | |
| Pluralistic curationRetraining Setting=Balanced multi-preference retraining, Number of Preferences=Four, q=0.252026.05 | 44.5 | 1.67 | 0.632 | 0.74 | 0.86 | |
| Pluralistic curationRetraining Setting=Balanced multi-preference retraining, Number of Preferences=Three, q=0.332026.05 | 64.2 | 1.357 | 0.946 | 0.68 | 0.79 | |
| Pluralistic curationRetraining Setting=Balanced multi-preference retraining, Number of Preferences=Two, q=0.52026.05 | 77.6 | 1.098 | 1.204 | 0.62 | 0.72 | |
| Pluralistic curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.52026.05 | 77.6 | 1.098 | 1.204 | 0.62 | 0.72 | |
| Pluralistic curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.42026.05 | 80.2 | 0.791 | 1.512 | 0.41 | 0.6 | |
| Pluralistic curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.32026.05 | 83.2 | 0.036 | 2.266 | 0.35 | 0.16 | |
| Pluralistic curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.22026.05 | 85.3 | 0.113 | 2.19 | 0.29 | 0.05 | |
| Pluralistic curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.12026.05 | 90.1 | 0.01 | 2.293 | 0.23 | 0.07 | |
| Single-reward curationRetraining Setting=Two-preference retraining with varying polarization q, q=0.0, Mode=Single Preference2026.05 | 100 | 0.032 | 2.271 | 0.2 | 0.05 |