Update readme.md

README.md

@@ -131,9 +131,9 @@ widget:
 license: apache-2.0
 ---
 
-# GATE-AraBert-v1
+# GATE-AraBert-V1
 
-This is a General Arabic Text Embedding trained using SentenceTransformers in a multi-task setup. The system trains on the AllNLI and on the STS dataset.
+This is **GATE | General Arabic Text Embedding** trained using SentenceTransformers in a **multi-task** setup. The system trains on the **AllNLI** and on the **STS** dataset.
 
 ## Model Details
 
@@ -221,3 +221,22 @@ print(similarities.shape)
 | spearman_max        | 0.8173     |
 
 
+## <span style="color:blue">Acknowledgments</span>
+
+The author would like to thank Prince Sultan University for their invaluable support in this project. Their contributions and resources have been instrumental in the development and fine-tuning of these models.
+
+
+```markdown
+## Citation
+
+If you use the Arabic Matryoshka Embeddings Model, please cite it as follows:
+
+@misc{nacar2025GATE,
+      title={GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Hybrid Loss Training}, 
+      author={Omer Nacar, Anis Koubaa, Serry Taiseer Sibaee and Lahouari Ghouti},
+      year={2025},
+      note={Submitted to COLING 2025},
+      url={https://huggingface.co/Omartificial-Intelligence-Space/GATE-AraBert-v1},
+}
+
+