Update README.md

README.md

@@ -20,4 +20,14 @@ For training, a compact T5 model was used: cointegrated/rut5-base-multitask
 The training was conducted on a small set
   out of 220 thousand pairs of question-answer sentences, so it still does not work as correctly as we would like.
   
-The model is not a medical application and it is strongly discouraged to use the model for medical purposes!
+The model is not a medical application and it is strongly discouraged to use the model for medical purposes!
+
+
+
+## Citing & Authors
+@misc{UARITM,
+      title={sentence-transformers: Semantic similarity of medical texts ukr, kor, eng}, 
+      author={Vitaliy Ostashko},
+      year={2025},
+      url={https://ai.esemi.org},
+}