Diseases Classification on PubMed synthetic data
87.32AccuracyFederated Controllable Text Generation with Refinement
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Federated Controllable Text Generation with RefinementBias=C, M, N, Privacy budget (epsilon)=∞, Refinement=true2026.03 | 87.32 | 87.39 | |
| Federated Controllable Text Generation with RefinementBias=C, M, N, Privacy budget (epsilon)=∞, Refinement=false2026.03 | 86.56 | 86.63 | |
| Federated Controllable Text Generation with RefinementBias=D, C, M, N, Privacy budget (epsilon)=∞, Refinement=true2026.03 | 84 | 83.8 | |
| Federated Controllable Text Generation with RefinementBias=C, M, N, Privacy budget (epsilon)=8, Refinement=true2026.03 | 82.37 | 81.42 | |
| Federated Controllable Text Generation with RefinementBias=D, C, M, N, Privacy budget (epsilon)=8, Refinement=true2026.03 | 78.35 | 77.54 | |
| Federated Controllable Text Generation with RefinementBias=C, M, N, Privacy budget (epsilon)=8, Refinement=false2026.03 | 78.24 | 77.19 | |
| Federated Controllable Text Generation with RefinementBias=D, C, M, N, Privacy budget (epsilon)=∞, Refinement=false2026.03 | 75.8 | 73.45 | |
| Federated Controllable Text Generation with RefinementBias=D, C, M, N, Privacy budget (epsilon)=8, Refinement=false2026.03 | 70.21 | 69.34 | |
| Federated Controllable Text Generation with RefinementBias=M, N, Privacy budget (epsilon)=∞, Refinement=true2026.03 | 67.2 | 67.5 | |
| Federated Controllable Text Generation with RefinementBias=M, N, Privacy budget (epsilon)=∞, Refinement=false2026.03 | 66.28 | 63.57 | |
| Federated Controllable Text Generation with RefinementBias=M, N, Privacy budget (epsilon)=8, Refinement=true2026.03 | 64.35 | 62.48 | |
| Federated Controllable Text Generation with RefinementBias=M, N, Privacy budget (epsilon)=8, Refinement=false2026.03 | 60.23 | 58.36 |