diff --git a/README.md b/README.md
index d3677e79a..f2439f339 100644
--- a/README.md
+++ b/README.md
@@ -112,6 +112,8 @@ Read technical notes:
 
 - 💡 [KTransformers Fine-Tuning × LLaMA Factory: Fine-tuning 1000 Billion models with 2 4090-GPU + CPU](https://blog.llamafactory.net/en/posts/ktransformers/) (English)
 - 💡 [Easy Dataset × LLaMA Factory: Enabling LLMs to Efficiently Learn Domain Knowledge](https://buaa-act.feishu.cn/wiki/GVzlwYcRFiR8OLkHbL6cQpYin7g) (English)
+- 💡 [DataFlow × LLaMA Factory: Producing High-Quality Data for LLM Training with a Data Preparation Pipeline](https://wcny4qa9krto.feishu.cn/wiki/LWkkwTDBfiiRKqkDSvucG6yjnbW) (English) | [中文](https://wcny4qa9krto.feishu.cn/wiki/LlMxweUAJimrmykRD5qcGuswnHd)
+- 💡 [DataFlex × LLaMA Factory: A Data-Centric Dynamic Training System Built on LLaMA-Factory](https://wcny4qa9krto.feishu.cn/wiki/OlREwPQWdi9K6ZkJNHIciLhtnkv) (English) | [中文](https://wcny4qa9krto.feishu.cn/wiki/H2A9wSsbCinzavkT2oyc2C5Vn0e)
 - [A One-Stop Code-Free Model Reinforcement Learning and Deployment Platform based on LLaMA-Factory and EasyR1](https://aws.amazon.com/cn/blogs/china/building-llm-model-hub-based-on-llamafactory-and-easyr1/) (Chinese)
 - [How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/) (English)
 
diff --git a/README_zh.md b/README_zh.md
index b86e1c855..025541cd3 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -113,6 +113,8 @@ https://github.com/user-attachments/assets/43b700c6-a178-41db-b1f8-8190a5d3fcfc
 
 - 💡 [KTransformers Fine-Tuning × LLaMA Factory: 用2张4090级的GPU+CPU 微调 1000B规模的超大模型](https://swcil84qspu.feishu.cn/wiki/Z1sSwb2poijybxkyPEkcDG6enVc) (中文)
 - 💡 [Easy Dataset × LLaMA Factory: 让大模型高效学习领域知识](https://buaa-act.feishu.cn/wiki/KY9xwTGs1iqHrRkjXBwcZP9WnL9)（中文）
+- 💡 [DataFlow × LLaMA Factory: 利用数据准备流水线产出高质量数据训练 LLM](https://wcny4qa9krto.feishu.cn/wiki/LlMxweUAJimrmykRD5qcGuswnHd)（中文）| [English](https://wcny4qa9krto.feishu.cn/wiki/LWkkwTDBfiiRKqkDSvucG6yjnbW)
+- 💡 [DataFlex × LLaMA Factory: 构建在 LLaMA-Factory 之上的以数据为中心的动态训练系统](https://wcny4qa9krto.feishu.cn/wiki/H2A9wSsbCinzavkT2oyc2C5Vn0e)（中文）| [English](https://wcny4qa9krto.feishu.cn/wiki/OlREwPQWdi9K6ZkJNHIciLhtnkv)
 - [基于 LLaMA-Factory 和 EasyR1 打造一站式无代码大模型强化学习和部署平台 LLM Model Hub](https://aws.amazon.com/cn/blogs/china/building-llm-model-hub-based-on-llamafactory-and-easyr1/)（中文）
 - [通过亚马逊 SageMaker HyperPod 上的 LLaMA-Factory 增强多模态模型银行文档的视觉信息提取](https://aws.amazon.com/cn/blogs/machine-learning/how-apoidea-group-enhances-visual-information-extraction-from-banking-documents-with-multimodal-models-using-llama-factory-on-amazon-sagemaker-hyperpod/)（英文）