Update README.md

README.md

@@ -6,9 +6,15 @@ base_model:
 - MAGAer13/mplug-owl2-llama2-7b
 ---
 
-DeQA-Score-LoRA model weights LoRA fine-tuned on KonIQ, SPAQ, and KADID datasets. 
+# DeQA-Score-LoRA-Mix3
 
-See [Homepage](https://depictqa.github.io/deqa-score/) and [Source Code](https://github.com/zhiyuanyou/DeQA-Score) for details.
+DeQA-Score (
+[project page](https://depictqa.github.io/deqa-score/) / 
+[codes](https://github.com/zhiyuanyou/DeQA-Score) / 
+[paper](https://arxiv.org/abs/2501.11561) 
+) model weights LoRA fine-tuned on KonIQ, SPAQ, and KADID datasets. 
+
+This work is under our [DepictQA project](https://depictqa.github.io/).
 
 ## Non-reference IQA Results (PLCC / SRCC)
 
@@ -16,3 +22,14 @@ See [Homepage](https://depictqa.github.io/deqa-score/) and [Source Code](https:/
 |--------------|-----------|-----------|----------|----------|----------|-----------|----------|----------|----------|
 | Q-Align (Baseline) | Fully | 0.945 / 0.938 | 0.933 / 0.931 | 0.935 / 0.934 | 0.409 / 0.420 | 0.887 / 0.883 | 0.788 / 0.733 | 0.829 / 0.808 | 0.876 / 0.845 |
 | DeQA-Score (Ours) | LoRA | **0.956 / 0.944** | **0.939 / 0.935** | **0.953 / 0.951** | **0.481 / 0.481** | **0.903 / 0.890** | **0.806 / 0.754** | **0.851 / 0.821** | **0.900 / 0.860** |
+
+If you find our work useful for your research and applications, please cite using the BibTeX:
+
+```bibtex
+@article{deqa_score,
+  title={Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution},
+  author={You, Zhiyuan and Cai, Xin and Gu, Jinjin and Xue, Tianfan and Dong, Chao},
+  journal={arXiv preprint arXiv:2501.11561},
+  year={2025},
+}
+```