Update README.md

README.md

@@ -43,9 +43,10 @@ The primary intended users of the model are researchers and hobbyists in compute
 
 ## Citation
 If you find LLaVA-UHD v2 useful for your research and applications, please cite using this BibTeX:
-@article{zhang2024llavauhdv2,
-  title={LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer},
-  author={Yipeng Zhang and Yifan Liu and Zonghao Guo and Yidan Zhang and Xuesong Yang and Chi Chen and Jun Song and Bo Zheng and Yuan Yao and Zhiyuan Liu and Tat-Seng Chua and Maosong Sun},
-  journal={arXiv preprint arXiv:2412.13871},
+```bibtex
+@inproceedings{guo2024llava-uhd,
+  title={{LLaVA-UHD}: an LMM Perceiving Any Aspect Ratio and High-Resolution Images},
+  author={Guo, Zonghao and Xu, Ruyi and Yao, Yuan and Cui, Junbo and Ni, Zanlin and Ge, Chunjiang and Chua, Tat-Seng and Liu, Zhiyuan and Huang, Gao},
+  booktitle={ECCV},
   year={2024}
 }