Update README.md

README.md

@@ -28,6 +28,7 @@ SambaLingo-Turkish-Base is a pretrained Bi-lingual Turkish and English model tha
 - **Language(s):** Turkish, 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
@@ -53,18 +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-Turkish-Base       | TURNA  | bloom-7b1 | xglm-7.5B | mGPT-13B |       
-|-------------------------------|--------|-----------|-----------|----------|--------|
-| Perplexity (Lower Is Better)  | **1.589**  | 13.435    | 2.804     | 1.799    | 2.386  |
-| FLORES en->tr (8 shot, CHRF)  | **0.474**  | -         | 0.107     | 0.223    | 0.192  |
-| FLORES tr->en (8 shot, CHRF)  | **0.566**  | -         | 0.150     | 0.364    | 0.189  |
-| FLORES en->tr  (8 shot, BLEU) | **0.132**  | -         | 0.001     | 0.013    | 0.005  |
-| FLORES tr->en  (8 shot, BLEU) | **0.269**  | -         | 0.004     | 0.098    | 0.011  |
-| Belebele (3 shot)             | **34.89%** | 24.22%    | 24.00%    | 27.33%   | 25.44% |
-| SIB-200 (3 shot)              | **63.73%** | 18.14%    | 42.16%    | **63.73%**   | 44.61% |
-| XCOPA (0 shot)                | **69.40%** | 55.80%    | 51.20%    | 58.40%   | 56.80% |
-| XNLI (0 shot)                 | 33.85% | 38.40%    | 34.95%    | **46.25%**   | 38.66% |
+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. -->
@@ -107,12 +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--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}
 }
 ```