Update README.md

README.md

@@ -20,7 +20,7 @@ This is the official dataset accompanying the **VisGym** project.
 **VisGym** consists of 17 diverse, long-horizon environments designed to systematically evaluate, diagnose, and train Vision-Language Models (VLMs) on visually interactive tasks. In these environments, agents must select actions conditioned on both their past actions and observation history, challenging their ability to handle complex, multimodal sequences.
 
 ## Project Resources
-- **Website:** [https://visgym.github.io/VisGym](https://visgym.github.io/VisGym)
+- **Website:** [https://visgym.github.io/](https://visgym.github.io/)
 - **Paper:** [VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents](https://visgym.github.io/visgym.pdf)
 
 ## Dataset Summary
@@ -34,10 +34,10 @@ This dataset contains trajectories and interaction data generated from the VisGy
 If you use this dataset or the VisGym environments in your research, please cite our work:
 
 ```bibtex
-@article{wang2025visgym,
+@article{wang2026visgym,
   title={VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents},
   author={Wang, Zirui and Zhang, Junyi and Ge, Jiaxin and Lian, Long and Fu, Letian and Dunlap, Lisa and Goldberg, Ken and Wang, Xudong and Stoica, Ion and Chan, David M. and Min, Sewon and Gonzalez, Joseph E.},
   journal={arXiv preprint},
-  year={2025},
+  year={2026},
   url={[https://visgym.github.io/VisGym.pdf](https://visgym.github.io/VisGym.pdf)}
 }