Update README.md

README.md

@@ -15,6 +15,14 @@ language:
 - bn
 ---
 
+# 🐙 Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
+
+Project Page: [https://mathoctopus.github.io/](https://mathoctopus.github.io/)
+
+Paper: [https://arxiv.org/abs/2310.20246.pdf](https://arxiv.org/abs/2310.20246.pdf)
+
+Code: [https://github.com/microsoft/MathOctopus](https://github.com/microsoft/MathOctopus)
+
 ### Introduction
 
 We introduce 🐙 MathOctopus, a series of open-source large language models (LLMs) specifically tailored for multilingual math problem-solving. The MathOctopus models are trained on 🤗 MGSM8KInstruct Dataset, encompassing ten distinct languages.
@@ -132,4 +140,18 @@ Our dataset and models are all available at Huggingface.
 | MathOctopus<sup>C</sup>-33B     | 53.7    | 51.5    |
 
 ## Intended Uses
-These models are trained for research purposes. They are designed to solve multilingual math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed.
+These models are trained for research purposes. They are designed to solve multilingual math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed.
+
+## Citation
+Please cite our paper if you use our data, model or code. Please also kindly cite the original dataset papers.
+
+```
+@misc{chen2023breaking,
+      title={Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations}, 
+      author={Nuo Chen and Zinan Zheng and Ning Wu and Linjun Shou and Ming Gong and Yangqiu Song and Dongmei Zhang and Jia Li},
+      year={2023},
+      eprint={2310.20246},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```