Update README.md

README.md

@@ -28,7 +28,6 @@ Several RAVLT variants were trained, offering different tradeoffs between accura
 | RAVLT-B  | 48          | 9.9       | [RAVLT-B](https://huggingface.co/aldjalkdf/RAVLT/blob/main/RAVLT_B.pth) |
 | RAVLT-L  | 95          | 16.0      | [RAVLT-L](https://huggingface.co/aldjalkdf/RAVLT/blob/main/RAVLT_L.pth) |
 
-**Note:**  Accuracy values from the paper have not been transcribed, but should be added once the code is available and the accuracy can be independently verified.
 
 ## How to use (Placeholder - Awaiting Code Release)
 
@@ -37,13 +36,10 @@ Instructions on how to use the model will be provided once the code repository i
 ## Citation
 
 ```bibtex
-@misc{fan2024breakinglowrank,
+@inproceedings{fan2024breakinglowrank,
       title={Breaking the Low-Rank Dilemma of Linear Attention},
-      author={Fan, Qinghao and Liu, Zheng and Li, Hongsheng and Yang, Yisen and Li, Hang},
+      author={Qihang Fan and Huaibo Huang and Ran He },
       year={2024},
-      eprint={2411.07635},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2411.07635},
+      booktitle={CVPR},
 }
 ```