Multimodal Forecasting on TimeMMD Economy
0.016MSEAurora
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.016 | 0.099 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.017 | 0.103 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.017 | 0.104 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.024 | 0.125 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.033 | 0.146 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.163 | 0.307 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.289 | 0.433 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.291 | 0.432 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.301 | 0.442 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.405 | 0.512 |