Update README.md

README.md

@@ -87,10 +87,9 @@ Performance on Geoperception benchmark tasks:
 
 If you find Euclid useful for your research and applications, please cite using this BibTeX:
 ```bibtex
-@misc{euclid,
-    title={Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions},
-    url={https://euclid-llm.github.io/},
-    author={Zhang, Jiarui and Liu, Ollie and Yu, Tianyu and Hu, Jinyi and Neiswanger, Willie},
-    month={December},
-    year={2024}
+@article{zhang2024euclid,
+  title={Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions},
+  author={Zhang, Jiarui and Liu, Ollie and Yu, Tianyu and Hu, Jinyi and Neiswanger, Willie},
+  journal={arXiv preprint arXiv:2412.08737},
+  year={2024}
 }