Update README.md

README.md

@@ -6,7 +6,11 @@ datasets:
 metrics:
 - accuracy
 ---
-# MixLoRA: Resource-Efficient Model with Mix-of-Experts Architecture for Enhanced LoRA Performance
+# MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts
+
+[![arXiv](https://img.shields.io/badge/arXiv-2404.15159-b31b1b.svg)](https://arxiv.org/abs/2404.15159)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mixlora-enhancing-large-language-models-fine/question-answering-on-social-iqa)](https://paperswithcode.com/sota/question-answering-on-social-iqa?p=mixlora-enhancing-large-language-models-fine)
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mixlora-enhancing-large-language-models-fine/question-answering-on-piqa)](https://paperswithcode.com/sota/question-answering-on-piqa?p=mixlora-enhancing-large-language-models-fine)
 
 <div align="left"><img src="MixLoRA.png" width=60%"></div>
 
@@ -27,7 +31,7 @@ The table above presents the performance of MixLoRA and compares these results w
 
 ## How to Use
 
-Please visit our GitHub repository: https://github.com/mikecovlee/mLoRA
+Please visit our GitHub repository: https://github.com/TUDB-Labs/MixLoRA
 
 ## Citation
 If MixLoRA has been useful for your work, please consider citing it using the appropriate citation format for your publication.