Update README.md

README.md

@@ -5,5 +5,19 @@ license: mit
 # Evolla
 
 <a href="https://doi.org/10.1101/2025.01.05.630192"><img src="https://img.shields.io/badge/Paper-bioRxiv-green" style="max-width: 100%;"></a>
+<a href="https://x.com/duguyuan/status/1876446845951492221"><img src="https://img.shields.io/badge/Post-X-black" style="max-width: 100%;"></a>
 
-A frontier protein-language generative model designed to decode the molecular language of proteins.
+A frontier protein-language generative model designed to decode the molecular language of proteins.
+
+## Comparative analysis
+
+In our paper, we conducted a comparative analysis against two state-of-the-art general-purpose language models: *Deepseek-v3* and *gpt-4o-2024-11-20*. 
+
+| **Model**               | **Mean GPT score (± 95% confidence interval)** |
+|-------------------------|-----------------------------|
+| *Evolla*                | 74.10 ± 0.81                |
+| *Deepseek-v3*           | 40.49 ± 0.56                |
+| *gpt-4o-2024-11-20*     | 37.07 ± 0.54                |
+
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/643bb8ba6eeb746f5ad0a2db/k3WaRvNm_FDcF1ITWMQE6.png" alt="Comparative analysis against two state-of-the-art general-purpose language models: *Deepseek-v3* and *gpt-4o-2024-11-20*" width="300" height="200">