Linear Regression on Synthetic Data (test)
0.0172MSEUF
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| UFmodel_base=VAE2023.11 | 0.0172 | 1.2499 | 1.246 | 1.2543 | |
| CAmodel_base=VAE2023.11 | 0.3467 | 0.5372 | 0.5409 | 0.5316 | |
| PCF Representation Generationmodel_base=VAE2023.11 | 0.4739 | 0 | 0 | 0 | |
| CEmodel_base=VAE2023.11 | 0.7868 | 0 | 0 | 0 | |
| CRmodel_base=VAE2023.11 | 0.8598 | 0.2572 | 0.259 | 0.2544 | |
| ICLBackbone=LLaMA-3.1-8B2026.05 | 3.97 | — | — | — | |
| LTVBackbone=LLaMA-3.1-8B2026.05 | 5.13 | — | — | — | |
| Function VectorBackbone=LLaMA-3.1-8B2026.05 | 5.23 | — | — | — | |
| I2CLBackbone=LLaMA-3.1-8B2026.05 | 5.29 | — | — | — | |
| State VectorBackbone=LLaMA-3.1-8B2026.05 | 5.35 | — | — | — | |
| Zero-shotBackbone=LLaMA-3.1-8B2026.05 | 5.51 | — | — | — | |
| Task VectorBackbone=LLaMA-3.1-8B2026.05 | 5.97 | — | — | — |