Update README.md

README.md

@@ -40,4 +40,16 @@ The patient notes and questions come from the following four datasets:
    
 We hope this data set of patient summaries and medical examination questions can be helpful for researchers looking to benchmark the performance 
 of large language models (LLMs) on medical entity extraction and also benchmark LLM's performance in using these extracted entitites 
-to perform different medical calculations.
+to perform different medical calculations.
+
+If you find this dataset useful, please cite our paper by:
+```bibtex
+@article{khandekar2024medcalc,
+  title={Medcalc-bench: Evaluating large language models for medical calculations},
+  author={Khandekar, Nikhil and Jin, Qiao and Xiong, Guangzhi and Dunn, Soren and Applebaum, Serina and Anwar, Zain and Sarfo-Gyamfi, Maame and Safranek, Conrad and Anwar, Abid and Zhang, Andrew and others},
+  journal={Advances in Neural Information Processing Systems},
+  volume={37},
+  pages={84730--84745},
+  year={2024}
+}
+```