Update README.md

README.md

@@ -117,4 +117,19 @@ The following hyperparameters were used during training:
 
 ### Bias, Risk and Limitation
 
-Our model is trained on artificially generated contextual documents, which might inadvertently magnify inherent biases and depart from clinical and societal norms. This could lead to the spread of convincing medical misinformation. To mitigate this risk, we recommend a cautious approach: domain experts should manually review any output before real-world use. This ethical safeguard is crucial to prevent the dissemination of potentially erroneous or misleading information, particularly within clinical and scientific circles.
+Our model is trained on artificially generated contextual documents, which might inadvertently magnify inherent biases and depart from clinical and societal norms. This could lead to the spread of convincing medical misinformation. To mitigate this risk, we recommend a cautious approach: domain experts should manually review any output before real-world use. This ethical safeguard is crucial to prevent the dissemination of potentially erroneous or misleading information, particularly within clinical and scientific circles.
+
+### Citation
+
+If you find MedGENIE-fid-flan-t5-base-medqa is useful in your work, please cite it with:
+
+```
+@misc{frisoni2024generate,
+      title={To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering}, 
+      author={Giacomo Frisoni and Alessio Cocchieri and Alex Presepi and Gianluca Moro and Zaiqiao Meng},
+      year={2024},
+      eprint={2403.01924},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```