feat: update readme

README.md

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 Aurora is a highly capable multimodal time series foundation model. Based on the **Modality-Guided Multi-head Self-Attention** and  **Prototype-Guided Flow Matching**, Aurora can effectively utilize the domain-specific knowledge contained in modalities and support generative probabilistic forecasting, thus covering versatile forecasting scenarios.
 
-See **Figure 1**, to our best knowldege, Aurora is the first pretrained multimodal time series foundation model! Evaluated on three well-recognized benchmarks, including TimeMMD, TSFM-Bench, and ProbTS, Aurora is demonstrated the state-of-the-art.
+See **Figure 1**, to our best knowldege, Aurora is the first pretrained multimodal time series foundation model! Evaluated on **5** well-recognized benchmarks, including TimeMMD, TSFM-Bench, ProbTS, TFB, and EPF, Aurora is demonstrated the state-of-the-art.
 
 
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