Update report links and citation

HY_MT2_0_Report.pdf

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:618b3db032d236d5b3cf47847a639f57bf6cc57becd9321ef1a9ea7722b2e1bf
-size 2326591

README.md

@@ -23,7 +23,8 @@ base_model:
 <p align="center">
     🖥️&nbsp;<a href="https://aistudio.tencent.com/llm/en?tabIndex=0"><b>Official Website</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
     💬&nbsp;<a href="https://github.com/Tencent-Hunyuan/Hy-MT2"><b>GitHub</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
-    🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a></p>
+    🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
+    📚&nbsp;<a href="https://arxiv.org/pdf/2605.22064"><b>Hy-MT2 Report</b></a></p>
 
 ## Model Introduction
 
@@ -50,7 +51,7 @@ Now, Tencent Hy is officially partnering with WMT26 for the "Video Subtitle Tran
 <img src="imgs/main_result.png" width = "100%" />
 </div>
 
-For more experimental results and analysis, please refer to our [report](./HY_MT2_0_Report.pdf).
+For more experimental results and analysis, please refer to our [report](https://arxiv.org/pdf/2605.22064).
 
 &nbsp;
 
@@ -281,15 +282,15 @@ We provide [AngelSlim](https://github.com/tencent/AngelSlim), an easy-to-use, co
 ## Citing Hy-MT2
 
 ```bibtex
-@misc{hy-mt1.5,
-      title={HY-MT1.5 Technical Report}, 
-      author={Mao Zheng and Zheng Li and Tao Chen and Mingyang Song and Di Wang},
-      year={2025},
-      eprint={2512.24092},
+@misc{zheng2026hymt2familyfastefficient,
+      title={Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild}, 
+      author={Mao Zheng and Zheng Li and Tao Chen and Bo Lv and Mingrui Sun and Mingyang Song and Jinlong Song and Hong Huang and Decheng Wu and Hai Wang and Yifan Song and Yanfeng Chen and Guanwei Zhang},
+      year={2026},
+      eprint={2605.22064},
       archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2512.24092}, 
-}
+      url={https://arxiv.org/abs/2605.22064}, 
+} 
 ```
 
 ## Contact Us

README_CN.md

@@ -19,7 +19,8 @@
 <p align="center">
     🖥️&nbsp;<a href="https://aistudio.tencent.com/llm/zh?tabIndex=0"><b>官方网站</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
     💬&nbsp;<a href="https://github.com/Tencent-Hunyuan/Hy-MT2"><b>GitHub</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
-    🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a></p>
+    🪡&nbsp;<a href="https://github.com/Tencent/AngelSlim/tree/main"><b>AngelSlim</b></a>&nbsp;&nbsp;|&nbsp;&nbsp;
+    📚&nbsp;<a href="https://arxiv.org/pdf/2605.22064"><b>Hy-MT2报告</b></a></p>
 
 
 ## 模型介绍
@@ -45,7 +46,7 @@ Hy-MT2 是一款面向真实复杂场景的“快思考”多语言翻译模型
 <img src="imgs/main_result.png" width = "100%" />
 </div>
 
-更多的实验效果和分析可以参考我们的[报告](./HY_MT2_0_Report.pdf)。
+更多的实验效果和分析可以参考我们的[报告](https://arxiv.org/pdf/2605.22064)。
 
 &nbsp;
 
@@ -278,15 +279,15 @@ Hy-MT2提供了完整的模型训练流程，支持全量微调和 LoRA 微调
 ## Citing Hy-MT2
 
 ```bibtex
-@misc{hy-mt1.5,
-      title={HY-MT1.5 Technical Report}, 
-      author={Mao Zheng and Zheng Li and Tao Chen and Mingyang Song and Di Wang},
-      year={2025},
-      eprint={2512.24092},
+@misc{zheng2026hymt2familyfastefficient,
+      title={Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild}, 
+      author={Mao Zheng and Zheng Li and Tao Chen and Bo Lv and Mingrui Sun and Mingyang Song and Jinlong Song and Hong Huang and Decheng Wu and Hai Wang and Yifan Song and Yanfeng Chen and Guanwei Zhang},
+      year={2026},
+      eprint={2605.22064},
       archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2512.24092}, 
-}
+      url={https://arxiv.org/abs/2605.22064}, 
+} 
 ```
 
 ## 联系我们