Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This is official model checkpoint for Asclepius-13B [arxiv](todo)
+This is official model checkpoint for Asclepius-13B [(arxiv)](https://arxiv.org/abs/2309.00237).
 This model is the first publicly shareable clinical LLM, trained with synthetic data.
 
 ## Model Details
@@ -116,7 +116,7 @@ https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes
 
 - We followed config used in [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca)
 - 
-#### Speeds, Sizes, Times [optional]
+#### Speeds, Sizes, Times
 
 <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
 - Pre-Training (1 epoch): 1h 52m with 8x A100 80G
@@ -124,17 +124,21 @@ https://huggingface.co/datasets/starmpcc/Asclepius-Synthetic-Clinical-Notes
 
 
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
+```
+@misc{kweon2023publicly,
+    title={Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes},
+    author={Sunjun Kweon and Junu Kim and Jiyoun Kim and Sujeong Im and Eunbyeol Cho and Seongsu Bae and Jungwoo Oh and Gyubok Lee and Jong Hak Moon and Seng Chan You and Seungjin Baek and Chang Hoon Han and Yoon Bin Jung and Yohan Jo and Edward Choi},
+    year={2023},
+    eprint={2309.00237},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```