Time Series Forecasting on TimeMMD Social Good
0.793MSECFA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CFAH=6, Backbone=Transformer2026.03 | 0.793 | — | |
| SpecTFH=62026.03 | 0.907 | — | |
| TimeVLM2025.08 | 1.033 | 0.544 | |
| CFAH=12, Backbone=Others2026.03 | 1.079 | — | |
| PA-RNetBackbone=iTransformer2025.08 | 1.136 | 0.634 | |
| TimeCMA2025.08 | 1.18 | 0.581 | |
| MoMEText-level fusion=true2026.01 | 1.419 | 0.417 | |
| Time-MoE2026.01 | 1.795 | 0.519 | |
| GPT4TS2026.01 | 1.817 | 0.496 | |
| MLP(MoE)+LMText-level fusion=true2026.01 | 1.908 | 0.73 | |
| DLinearP+LMText-level fusion=true, patching=true2026.01 | 1.929 | 0.744 | |
| Time-LLM2026.01 | 2.02 | 0.541 | |
| DLinear2026.01 | 2.116 | 0.709 | |
| Time-MoE+LMText-level fusion=true2026.01 | 2.191 | 0.739 | |
| PatchTST2026.01 | 2.406 | 0.786 | |
| TS-Mix2026.01 | 2.413 | 0.654 |