Update README.md

README.md

@@ -115,7 +115,8 @@ datasets:
 FuseChat-3.0: Preference Optimization for Implicit Model Fusion
 -----------------------------
 
-<h4> |<a href="https://arxiv.org/abs/2412.03187"> 📑 Paper </a> |
+<h4> |<a href="https://arxiv.org/abs/2412.03187"> 📑 WRPO Paper </a> |
+  <a href="https://arxiv.org/pdf/2503.04222"> 📑 FuseChat-3.0 Tech Report </a> |
 <a href="https://github.com/SLIT-AI/FuseChat-3.0"> 🐱 GitHub Repo </a> |
 <a href="https://huggingface.co/FuseAI"> 🤗 Hugging Face </a> |
 <a href="https://slit-ai.github.io/FuseChat-3.0/"> 🌐 Website </a> |
@@ -520,6 +521,13 @@ The evaluation results of five series fused models are as follows, showing that
   year={2025},
   url={https://openreview.net/forum?id=fq24pEb8SL}
 }
+
+@article{yang2025weightedreward,
+  title={FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion}, 
+  author={Ziyi Yang and Fanqi Wan and Longguang Zhong and Canbin Huang and Guosheng Liang and Xiaojun Quan},
+  journal={arXiv preprint arXiv:2503.04222},
+  year={2025},
+}
 ```
 
 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)