Update README.md

README.md

@@ -5,15 +5,26 @@ This model is a fine-tuned Llama3 model, trained on the training set of PromptEv
 
 Model Card:  
 Model Details  
-– Person or organization developing model: Meta, and fine-tuned by [Redacted for submission]  
+– Person or organization developing model: Meta, and fine-tuned by the [authors](https://openreview.net/forum?id=uUW8jYai6K)  
 – Model date: Base model was released in April 18 2024, and fine-tuned in July 2024  
 – Model version: 3.1  
 – Model type: decoder-only Transformer  
 – Information about training algorithms, parameters, fairness constraints or other applied approaches, and features: 8 billion parameters, fine-tuned by us using Axolotl (https://github.com/axolotl-ai-cloud/axolotl)  
-– Paper or other resource for more information: https://arxiv.org/abs/2310.06825  
-– Citation details: Redacted for submission  
+– Paper or other resource for more information: [Llama 3](https://arxiv.org/abs/2407.21783), [PromptEvals](https://openreview.net/forum?id=uUW8jYai6K)   
+– Citation details:   
+```bibtex
+@inproceedings{
+  anonymous2024promptevals,
+  title={{PROMPTEVALS}: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines},
+  author={Anonymous},
+  booktitle={Submitted to ACL Rolling Review - August 2024},
+  year={2024},
+  url={https://openreview.net/forum?id=uUW8jYai6K},
+  note={under review}
+}
+```   
 – License: Meta Llama 3 Community License  
-– Where to send questions or comments about the model: [Redacted for submission]  
+– Where to send questions or comments about the model: https://openreview.net/forum?id=uUW8jYai6K  
 Intended Use. Use cases that were envisioned during development. (Primary intended uses, Primary intended users, Out-of-scope use cases)  
 Intended to be used by developers to generate high quality assertion criteria for LLM outputs, or to benchmark the ability of LLMs in generating these assertion criteria.  
 Factors. Factors could include demographic or phenotypic groups, environmental conditions, technical attributes, or others listed in Section 4.3.