Update README.md

README.md

@@ -36,13 +36,18 @@ Main Contributor: Sa Phyo Thu Htet (https://github.com/SaPhyoThuHtet)
 Wikipedia Data Crawling: Kaung Kaung Ko Ko, Phuu Pwint Thinzar Kyaing
 Releasing the Model: Eithandaraung, Ye Yint Htut, Thet Chit Su, Naing Phyo Aung
 
+### Acknowledgment
+We extend our gratitude to the creators of the [mGPT-XL](ai-forever/mGPT) models for their invaluable contribution to this project, significantly impacting the field of Burmese NLP.
+We want to thank everyone who has worked on the related works, especially [Minsithu](https://huggingface.co/jojo-ai-mst/MyanmarGPTT) and [Dr. Wai Yan Nyein Naing](WYNN747/Burmese-GPT, https://huggingface.co/WYNN747/Burmese-GPT)who initiated the work of gpt-2 model.
+
 
 ### Limitations and bias
-We have yet to thoroughly investigate the potential bias inherent in this model. Regarding transparency, it's important to note that the model is primarily trained on data from the Unicode Burmese(Myanmar) language.
+We have yet to investigate the potential bias inherent in this model thoroughly. Regarding transparency, it's important to note that the model is primarily trained on data from the Unicode Burmese(Myanmar) language.
 
 ### References
 1. Jiang, Shengyi & Huang, Xiuwen & Cai, Xiaonan & Lin, Nankai. (2021). Pre-trained Models and Evaluation Data for the Myanmar Language. 10.1007/978-3-030-92310-5_52. 
 2. Lin, N., Fu, Y., Chen, C., Yang, Z., & Jiang, S. (2021). LaoPLM: Pre-trained Language Models for Lao. ArXiv. /abs/2110.05896
 3. MinSithu, MyanmarGPT, https://huggingface.co/jojo-ai-mst/MyanmarGPT, 1.1-SweptWood 
 4. Dr. Wai Yan Nyein Naing, WYNN747/Burmese-GPT, https://huggingface.co/WYNN747/Burmese-GPT
-5. Sai Htaung Kham,saihtaungkham/BurmeseRoBERTaCLM
+5. Sai Htaung Kham,saihtaungkham/BurmeseRoBERTaCLM
+6. Shliazhko, O., Fenogenova, A., Tikhonova, M., Mikhailov, V., Kozlova, A., & Shavrina, T. (2022). MGPT: Few-Shot Learners Go Multilingual. ArXiv. /abs/2204.07580