Update README.md

README.md

@@ -37,11 +37,8 @@ widget:
 ## Model Description
 
 **HViLM (Human Virome Language Model)** is the first foundation model specifically designed for comprehensive viral risk assessment through multi-task prediction of pathogenicity, host tropism, and transmissibility. Built through continued pre-training of [DNABERT-2](https://github.com/MAGICS-LAB/DNABERT_2) on 5 million viral genome sequences from the [VIRION database](https://virion.verena.org), HViLM captures universal viral genomic patterns relevant for human disease risk assessment.
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 **Paper**: *HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism* (RECOMB 2026)
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-**Authors**: Pratyay Dutta, Ramana V. Davuluri (Stony Brook University)
-
+**Authors**: Pratik Dutta, Jack Vaska, Pallavi Surana, Rekha Sathian, Max Chao, Zhihan Zhou, Han Liu, and Ramana V. Davuluri
 **Code & Benchmarks**: [GitHub Repository](https://github.com/duttaprat/HViLM)
 
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@@ -292,7 +289,16 @@ If you use DNABERT-2 (the base model), please also cite:
   year={2024}
 }
 ```
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+If you use HViLM in your research, please cite our paper:
+```
+@article{dutta2025hvilm,
+  title={HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism},
+  author={Dutta, Pratik and Vaska, Jack and Surana, Pallavi and Sathian, Rekha and Chao, Max and Zhou, Zhihan and Liu, Han and Davuluri, Ramana V.},
+  journal={Submitted to RECOMB},
+  year={2025},
+  note={Under review}
+}
+```
 ---
 
 ## Model Card Authors