Update README.md

README.md

@@ -1,32 +1,32 @@
----
-license: mit
-language:
-  - en
-tags:
-  - multi-agent
-  - multimodal
-  - strategic reasoning
----
-
-## Dataset Description
-
-- **Homepage:** https://vs-bench.github.io
-- **Repository:** https://github.com/zelaix/VS-Bench
-- **Paper:** coming soon
-- **Contact:** [Zelai Xu](mailto:zelai.eecs@gmail.com)
-
-
-### Dataset Summary
-
-VS-Bench is a multimodal benchmark for evaluating VLMs in multi-agent environments. We evaluate fourteen state-of-the-art models in eight vision-grounded environments with two complementary dimensions, including offline evaluation of strategic reasoning by next-action prediction accuracy and online evaluation of decision-making by normalized episode return.
-
-
-### Citation Information
-```
-@article{xu2025vs,
-  title={VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments},
-  author={Xu, Zelai and Xu, Zhexuan and Yi, Xiangmin and Yuan, Huining and Chen, Xinlei and Wu, Yi and Yu, Chao and Wang, Yu},
-  journal={coming soon},
-  year={2025}
-}
-```
+---
+license: mit
+language:
+  - en
+tags:
+  - multi-agent
+  - multimodal
+  - strategic reasoning
+---
+
+## Dataset Description
+
+- **Homepage:** https://vs-bench.github.io
+- **Repository:** https://github.com/zelaix/VS-Bench
+- **Paper:** https://arxiv.org/abs/2506.02387
+- **Contact:** [Zelai Xu](mailto:zelai.eecs@gmail.com)
+
+
+### Dataset Summary
+
+VS-Bench is a multimodal benchmark for evaluating VLMs in multi-agent environments. We evaluate fourteen state-of-the-art models in eight vision-grounded environments with two complementary dimensions, including offline evaluation of strategic reasoning by next-action prediction accuracy and online evaluation of decision-making by normalized episode return.
+
+
+### Citation Information
+```
+@article{xu2025vs,
+  title={VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments},
+  author={Xu, Zelai and Xu, Zhexuan and Yi, Xiangmin and Yuan, Huining and Chen, Xinlei and Wu, Yi and Yu, Chao and Wang, Yu},
+  journal={arXiv preprint arXiv:2506.02387},
+  year={2025}
+}
+```