Update README.md

README.md

@@ -8,7 +8,7 @@ pipeline_tag: robotics
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This modelcard is accompanied with the [paper](https://arxiv.org/abs/2405.10315) titled TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction.
+This modelcard is accompanied with the [CoRL 2024 paper](https://arxiv.org/abs/2405.10315) titled TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction.
 It includes robot policies trained in the simulation and transferred to the real world for complex and contact-rich manipulation tasks.
 
 ## Model Details
@@ -58,11 +58,11 @@ Policies are evaluated in simulation and the real world. We use task success rat
 **BibTeX:**
 
 ```
-@article{jiang2024transic,
-  title   = {TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction},
-  author  = {Yunfan Jiang and Chen Wang and Ruohan Zhang and Jiajun Wu and Li Fei-Fei},
-  year    = {2024},
-  journal = {arXiv preprint arXiv: Arxiv-2405.10315}
+@inproceedings{jiang2024transic,
+  title     = {TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction},
+  author    = {Yunfan Jiang and Chen Wang and Ruohan Zhang and Jiajun Wu and Li Fei-Fei},
+  booktitle = {Conference on Robot Learning},
+  year      = {2024}
 }
 ```