Update README.md

README.md

@@ -5,13 +5,14 @@ colorFrom: pink
 colorTo: indigo
 sdk: static
 pinned: false
+license: mit
+short_description: Compressed Large Language Models
 ---
-# Compressed LLM Model Zone
-
+# Compressed Large Language Models
 
+This repo contains compressed LLMs used in the [Decoding Compressed Trust](https://decoding-comp-trust.github.io/) project.
 The models are prepared by [Visual Informatics Group @ University of Texas at Austin (VITA-group)](https://vita-group.github.io/) and 
 [Center for Applied Scientific Computing](https://computing.llnl.gov/casc) at [LLNL](https://www.llnl.gov/).
-Credits to Ajay Jaiswal, Jinhao Duan, Zhenyu Zhang, Zhangheng Li, Lu Yin, Shiwei Liu and Junyuan Hong.
 
 License: [MIT License](https://opensource.org/license/mit/)
 
@@ -96,6 +97,18 @@ tokenizer.decode(outputs[0])
 
 If you are using models in this hub, please consider citing our papers.
 ```bibtex
+@article{hong2024comptrust,
+    title={Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression},
+    author={Hong, Junyuan and Duan, Jinhao and Zhang, Chenhui and Li, Zhangheng 
+      and Xie, Chulin and Lieberman, Kelsey and Diffenderfer, James 
+      and Bartoldson, Brian and Jaiswal, Ajay and Xu, Kaidi and Kailkhura, Bhavya 
+      and Hendrycks, Dan and Song, Dawn and Wang, Zhangyang and Bo Li},
+    journal={arXiv},
+    year={2024}
+}
+```
+Some of the models were used in previous publications.
+```bibtex
 @article{jaiswal2023emergence,
   title={The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter},
   author={Jaiswal, Ajay and Liu, Shiwei and Chen, Tianlong and Wang, Zhangyang},
@@ -110,6 +123,9 @@ If you are using models in this hub, please consider citing our papers.
 }
 ```
 
+## Acknowlegement
+
+Main credits to Ajay Jaiswal, Jinhao Duan, Zhangheng Li and Junyuan Hong. We also appreciate Zhenyu Zhang, Lu Yin, and Shiwei Liu in some preparations.
 
-For any question, please contact [Junyuan Hong](mailto:jyhong@utexas.edu).
 
+For any question, please contact [Junyuan Hong](mailto:jyhong@utexas.edu).