Update README.md

README.md

@@ -28,6 +28,7 @@ SambaLingo-Serbian-Base is a pretrained Bi-lingual Serbian and English model tha
 - **Language(s):** Serbian, English
 - **Finetuned from model:** [Llama 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 - **Try the chat version of this model**: [SambaLingo-chat-space](https://huggingface.co/spaces/sambanovasystems/SambaLingo-chat-space).
+- **Paper:** [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
 - **Blog Post**: [sambalingo-open-source-language-experts](https://sambanova.ai/blog/sambalingo-open-source-language-experts)
 
 ## Getting Started
@@ -53,16 +54,7 @@ All pre-training is done on the [Cultura-X](https://huggingface.co/datasets/uonl
 We extended the vocabulary of the base llama model from 32,000 tokens to 57,000 tokens by adding up to 25,000 non-overlapping tokens from the new language.
 
 ## Evaluation
-
-|        | SambaLingo-Serbian-Base       | sr-gpt2 | bloom-7b1 | xglm-7.5B | mGPT-13B |        
-|-------------------------------|---------|-----------|-----------|----------|--------|
-| Perplexity (Lower Is Better)  | **1.436**   | -         | 2.140     | 2.404    | 2.429  |
-| FLORES en->sr (8 shot, CHRF)  | **0.448**   | 0.002     | 0.171     | 0.090    | 0.024  |
-| FLORES sr->en (8 shot, CHRF)  | **0.625**   | 0.071     | 0.206     | 0.257    | 0.026  |
-| FLORES en->sr  (8 shot, BLEU) | **0.188**   | 0.000     | 0.003     | 0.001    | 0.000  |
-| FLORES sr->en  (8 shot, BLEU) | **0.352**   | 0.000     | 0.019     | 0.040    | 0.000  |
-| Belebele (3 shot)             | **48.33%**  | 23.00%    | 23.89%    | 27.00%   | 25.22% |
-| SIB-200 (3 shot)              | 55.39%  | -%        | 32.35%    | **61.76%**   | 39.22% |
+For evaluation results see our paper: [SambaLingo: Teaching Large Language Models New Languages](https://arxiv.org/abs/2404.05829)
 
 ## Uses
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
@@ -105,12 +97,12 @@ We would like to give a special thanks to the following groups:
 
 ## Cite SambaLingo
 ```
-@software{sambalingo,
-  title = {{SambaLingo: Open Source Language Experts}},
-  author = {SambaNova Systems},
-  url = {https://huggingface.co/sambanovasystems/SambaLingo-Serbian-Base}
-  month = {2},
-  year = {2024},
-  version = {1.0},
+@misc{csaki2024sambalingo,
+      title={SambaLingo: Teaching Large Language Models New Languages}, 
+      author={Zoltan Csaki and Bo Li and Jonathan Li and Qiantong Xu and Pian Pawakapan and Leon Zhang and Yun Du and Hengyu Zhao and Changran Hu and Urmish Thakker},
+      year={2024},
+      eprint={2404.05829},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
 ```