Update README.md

README.md

@@ -18,7 +18,20 @@ tags:
 - manuscript
 - openreview
 ---
-Try the demo [here](https://huggingface.co/spaces/maxidl/openreviewer).
+
+# OpenReviewer
+
+### A Specialized Large Language Model for Generating Critical Scientific Paper Reviews
+
+
+[![Paper](https://img.shields.io/badge/Paper-NAACL%202025-red)](https://aclanthology.org/2025.naacl-demo.44)
+[![arXiv](https://img.shields.io/badge/arXiv-2412.11948-b31b1b)](http://arxiv.org/pdf/2412.11948)
+[![Demo](https://img.shields.io/badge/🤗-Demo-yellow)](https://huggingface.co/spaces/maxidl/openreviewer)
+[![Model](https://img.shields.io/badge/🤗-Model-blue)](https://huggingface.co/maxidl/Llama-OpenReviewer-8B)
+[![GitHub](https://img.shields.io/badge/GitHub-maxidl%2Fopenreviewer-181717?logo=github)](https://github.com/maxidl/openreviewer)
+
+**OpenReviewer** is an open-source system for generating high-quality peer reviews of machine learning and AI conference papers. At its core is **Llama-OpenReviewer-8B**, an 8B parameter language model specifically fine-tuned on 79,000 expert reviews from top conferences like ICLR and NeurIPS.
+
 
 # Model Overview
 
@@ -166,8 +179,23 @@ The model was trained with the following user prompt:
 The paper text must be formatted in markdown. We recommend providing the entire text, including references, and omitting any appendix.
 
 
-## Acknowledgments
-TBD.
-
 ## Citation
-TBD.
+```
+@inproceedings{idahl-ahmadi-2025-openreviewer,
+    title = "{O}pen{R}eviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews",
+    author = "Idahl, Maximilian  and
+      Ahmadi, Zahra",
+    editor = "Dziri, Nouha  and
+      Ren, Sean (Xiang)  and
+      Diao, Shizhe",
+    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
+    month = apr,
+    year = "2025",
+    address = "Albuquerque, New Mexico",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.naacl-demo.44/",
+    doi = "10.18653/v1/2025.naacl-demo.44",
+    pages = "550--562",
+    ISBN = "979-8-89176-191-9"
+}
+```