Add acknowledgements

README.md

@@ -6,7 +6,8 @@ pipeline_tag: text-classification
 
 # Llama-3.1-Bespoke-MiniCheck-7B
 
-This is a fact-checking model developed by [Bespoke Labs](https://bespokelabs.ai) and maintained by [Liyan Tang](https://www.tangliyan.com/) and Bespoke Labs. The model is an improvement of the MiniCheck model proposed in the following paper:
+This is a fact-checking model developed by [Bespoke Labs](https://bespokelabs.ai) and maintained by [Liyan Tang](https://www.tangliyan.com/) and Bespoke Labs. 
+The model is an improvement of the MiniCheck model proposed in the following paper:
 
 📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.org/pdf/2404.10774.pdf)
 
@@ -124,7 +125,8 @@ result_df.round(1)
 
 # License
 
-Free for use for non-commercial purposes. For commercial licensing, please contact company@bespokelabs.ai.
+Free for use for non-commercial purposes. 
+For commercial licensing, please contact company@bespokelabs.ai.
 
 # Citation
 
@@ -137,4 +139,25 @@ Free for use for non-commercial purposes. For commercial licensing, please conta
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```
+
+@misc{tang2024bespokeminicheck,
+  title={Bespoke-Minicheck-7B},
+  author={Bespoke Labs},
+  year={2024},
+  url={huggingface.co/bespokelabs/Bespoke-MiniCheck-7B},
+}
+```
+
+# Acknowledgements
+
+Model perfected at [Bespoke Labs](https://www.bespokelabs.ai).
+
+Team:
+1. [Liyan Tang](https://tangliyan.com/)
+2. [Negin Raoof](https://neginraoof.com/)
+3. [Trung Vu](https://x.com/trungthvu)
+4. [Greg Durrett](https://www.cs.utexas.edu/~gdurrett/)
+5. [Alex Dimakis](https://users.ece.utexas.edu/~dimakis/)
+6. [Mahesh Sathiamoorthy](https://smahesh.com)
+
+We also thank Giannis Daras for feedback and Sarthak Malhotra for market research.