[doc] update DAPO (#640)

- As titled

Author: PeterSH6

README.md

@@ -28,11 +28,12 @@ verl is fast with:
 </p>
 
 ## News
-- [2025/3] We will present verl(HybridFlow) at [EuroSys 2025](https://2025.eurosys.org/). See you in Rotterdam!
-- [2025/3] We will introduce the programming model of verl at the [vLLM Beijing Meetup](https://mp.weixin.qq.com/s/n77GibL2corAtQHtVEAzfg) on 3/16. See you in Beijing!
-- [2025/2] verl v0.2.0.post1 is released! See [release note](https://github.com/volcengine/verl/releases/) for details.
-- [2025/2] We presented verl in the [Bytedance/NVIDIA/Anyscale Ray Meetup](https://lu.ma/ji7atxux). See you in San Jose!
-- [2025/1] [Doubao-1.5-pro](https://team.doubao.com/zh/special/doubao_1_5_pro) is released with SOTA-level performance on LLM & VLM. The RL scaling preview model is trained using verl, reaching OpenAI O1-level performance on math benchmarks (70.0 pass@1 on AIME).
+- [2025/03] [DAPO](https://dapo-sia.github.io/) is the open-sourced SOTA RL algorithm that achieves 50 points on AIME 2024 based on the Qwen2.5-32B pre-trained model, surpassing the previous SOTA achieved by DeepSeek's GRPO, which scores 47 points (DeepSeek-R1-Zero-Qwen-32B). DAPO's training is fully powered by verl and the reproduction code is [publicly available](https://github.com/volcengine/verl/tree/gm-tyx/puffin/main/recipe/dapo) now.
+- [2025/03] We will present verl(HybridFlow) at [EuroSys 2025](https://2025.eurosys.org/). See you in Rotterdam!
+- [2025/03] We will introduce the programming model of verl at the [vLLM Beijing Meetup](https://mp.weixin.qq.com/s/n77GibL2corAtQHtVEAzfg) on 3/16. See you in Beijing!
+- [2025/02] verl v0.2.0.post1 is released! See [release note](https://github.com/volcengine/verl/releases/) for details.
+- [2025/02] We presented verl in the [Bytedance/NVIDIA/Anyscale Ray Meetup](https://lu.ma/ji7atxux). See you in San Jose!
+- [2025/01] [Doubao-1.5-pro](https://team.doubao.com/zh/special/doubao_1_5_pro) is released with SOTA-level performance on LLM & VLM. The RL scaling preview model is trained using verl, reaching OpenAI O1-level performance on math benchmarks (70.0 pass@1 on AIME).
 - [2024/12] The team presented <a href="https://neurips.cc/Expo/Conferences/2024/workshop/100677">Post-training LLMs: From Algorithms to Infrastructure</a> at NeurIPS 2024. [Slides](https://github.com/eric-haibin-lin/verl-data/tree/neurips) and [video](https://neurips.cc/Expo/Conferences/2024/workshop/100677) available.
 - [2024/12] verl is presented at Ray Forward 2024. Slides available [here](https://github.com/eric-haibin-lin/verl-community/blob/main/slides/Ray_Forward_2024_%E5%B7%AB%E9%94%A1%E6%96%8C.pdf).
 - [2024/10] verl is presented at Ray Summit. [Youtube video](https://www.youtube.com/watch?v=MrhMcXkXvJU&list=PLzTswPQNepXntmT8jr9WaNfqQ60QwW7-U&index=37) available.
@@ -136,6 +137,7 @@ verl is inspired by the design of Nemo-Aligner, Deepspeed-chat and OpenRLHF. The
 - [DeepRetrieval](https://github.com/pat-jj/DeepRetrieval): Let LLMs learn to **search** and **retrieve** desirable docs with RL
 - [cognitive-behaviors](https://github.com/kanishkg/cognitive-behaviors): Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
 - [MetaSpatial](https://github.com/PzySeere/MetaSpatial): Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
+- [DAPO](https://dapo-sia.github.io/): the open-sourced SOTA RL algorithm that achieves 50 points on AIME 2024 based on the Qwen2.5-32B pre-trained model.
 
 ## Contribution Guide
 Contributions from the community are welcome! Please checkout our [roadmap](https://github.com/volcengine/verl/issues/22) and [release plan](https://github.com/volcengine/verl/issues/354).