Update README.md

README.md

@@ -19,7 +19,7 @@ configs:
 ---
 # Copali train split used in MoCa Continual Pre-training
 
-[🏠 Homepage]() | [🤖 MoCa-Qwen25VL-7B]() | [🤖 MoCa-Qwen25VL-3B]() | [💻 Code](https://github.com/haon-chen/MoCa) | [📄 Arxiv]() | [📕 PDF]()
+[🏠 Homepage](https://haon-chen.github.io/MoCa/) | [💻 Code](https://github.com/haon-chen/MoCa) | [🤖 MoCa-Qwen25VL-7B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-7B) | [🤖 MoCa-Qwen25VL-3B](https://huggingface.co/moca-embed/MoCa-Qwen25VL-3B) | [📚 Datasets](https://huggingface.co/moca-embed/datasets) | [📄 Paper](https://arxiv.org/abs/2506.23115)
 
 ## Introduction
 
@@ -39,9 +39,18 @@ image = PIL.Image.open(BytesIO(image_bytes))
 ## Citation
 MoCa
 
+```bibtex
+@article{chen2025moca,
+  title={MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings},
+  author={Chen, Haonan and Liu, Hong and Luo, Yuping and Wang, Liang and Yang, Nan and Wei, Furu and Dou, Zhicheng},
+  journal={arXiv preprint arXiv:2506.23115},
+  year={2025}
+}
+```
+
 Colpali
 
-```
+```bibtex
 @inproceedings{faysse2024colpali,
   title={Colpali: Efficient document retrieval with vision language models},
   author={Faysse, Manuel and Sibille, Hugues and Wu, Tony and Omrani, Bilel and Viaud, Gautier and Hudelot, C{\'e}line and Colombo, Pierre},