Text Generation
Transformers
PyTorch
llama
text-generation-inference
Inference Endpoints
compasszzn commited on
Commit
fd84a03
β€’
1 Parent(s): fc7cda7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -1
README.md CHANGED
@@ -15,6 +15,14 @@ language:
15
  - bn
16
  ---
17
 
 
 
 
 
 
 
 
 
18
  ### Introduction
19
 
20
  We introduce πŸ™ MathOctopus, a series of open-source large language models (LLMs) specifically tailored for multilingual math problem-solving. The MathOctopus models are trained on πŸ€— MGSM8KInstruct Dataset, encompassing ten distinct languages.
@@ -132,4 +140,18 @@ Our dataset and models are all available at Huggingface.
132
  | MathOctopus<sup>C</sup>-33B | 53.7 | 51.5 |
133
 
134
  ## Intended Uses
135
- 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
  - bn
16
  ---
17
 
18
+ # πŸ™ Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
19
+
20
+ Project Page: [https://mathoctopus.github.io/](https://mathoctopus.github.io/)
21
+
22
+ Paper: [https://arxiv.org/abs/2310.20246.pdf](https://arxiv.org/abs/2310.20246.pdf)
23
+
24
+ Code: [https://github.com/microsoft/MathOctopus](https://github.com/microsoft/MathOctopus)
25
+
26
  ### Introduction
27
 
28
  We introduce πŸ™ MathOctopus, a series of open-source large language models (LLMs) specifically tailored for multilingual math problem-solving. The MathOctopus models are trained on πŸ€— MGSM8KInstruct Dataset, encompassing ten distinct languages.
 
140
  | MathOctopus<sup>C</sup>-33B | 53.7 | 51.5 |
141
 
142
  ## Intended Uses
143
+ 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.
144
+
145
+ ## Citation
146
+ Please cite our paper if you use our data, model or code. Please also kindly cite the original dataset papers.
147
+
148
+ ```
149
+ @misc{chen2023breaking,
150
+ title={Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations},
151
+ author={Nuo Chen and Zinan Zheng and Ning Wu and Linjun Shou and Ming Gong and Yangqiu Song and Dongmei Zhang and Jia Li},
152
+ year={2023},
153
+ eprint={2310.20246},
154
+ archivePrefix={arXiv},
155
+ primaryClass={cs.CL}
156
+ }
157
+ ```