update news

README.md

@@ -27,7 +27,13 @@
 </p>
 
 ## 🎉 News
-**•June 25, 2024: 🎉To foster development in LLM-powered multi-agent collaboration🤖🤖 and related fields, the ChatDev team has curated a collection of seminal papers📄 presented in a [open-source](https://github.com/OpenBMB/ChatDev/tree/main/MultiAgentEbook) interactive e-book📚 format. Now you can explore the latest advancements on the [Ebook Website](https://thinkwee.top/multiagent_ebook) and download the [paper list](https://github.com/OpenBMB/ChatDev/blob/main/MultiAgentEbook/papers.csv).**
+**•May 26, 2025: 🎉 We propose a novel puppeteer-style paradigm for multi-agent collaboration among large language model based agents. By leveraging a learnable central orchestrator optimized with reinforcement learning, our method dynamically activates and sequences agents to construct efficient, context-aware reasoning paths. This approach not only improves reasoning quality but also reduces computational costs, enabling scalable and adaptable multi-agent cooperation in complex tasks.**
+**See our paper in [Multi-Agent Collaboration via Evolving Orchestration](https://arxiv.org/abs/2505.19591)**.
+  <p align="center">
+  <img src='./misc/puppeteer.png' width=800>
+  </p>
+
+•June 25, 2024: 🎉To foster development in LLM-powered multi-agent collaboration🤖🤖 and related fields, the ChatDev team has curated a collection of seminal papers📄 presented in a [open-source](https://github.com/OpenBMB/ChatDev/tree/main/MultiAgentEbook) interactive e-book📚 format. Now you can explore the latest advancements on the [Ebook Website](https://thinkwee.top/multiagent_ebook) and download the [paper list](https://github.com/OpenBMB/ChatDev/blob/main/MultiAgentEbook/papers.csv).
   <p align="center">
   <img src='./misc/ebook.png' width=800>
   </p>