diff --git a/benchmark/deepseek_v3/README.md b/benchmark/deepseek_v3/README.md
index 0416e8dd6..0be5171d0 100644
--- a/benchmark/deepseek_v3/README.md
+++ b/benchmark/deepseek_v3/README.md
@@ -4,7 +4,7 @@ The SGLang and DeepSeek teams collaborated to get DeepSeek V3 FP8 running on NVI
 
 Special thanks to Meituan's Search & Recommend Platform Team and Baseten's Model Performance Team for implementing the model, and DataCrunch for providing GPU resources.
 
-For optimizations made on the DeepSeek series models regarding SGLang, please refer to [DeepSeek Model Optimizations in SGLang](https://docs.sglang.ai/references/deepseek.html).
+For optimizations made on the DeepSeek series models regarding SGLang, please refer to [DeepSeek Model Optimizations in SGLang](https://docs.sglang.ai/basic_usage/deepseek.html).
 
 ## Installation & Launch
 
diff --git a/docs/advanced_features/speculative_decoding.ipynb b/docs/advanced_features/speculative_decoding.ipynb
index 92cec6f3d..2f2f0b87f 100644
--- a/docs/advanced_features/speculative_decoding.ipynb
+++ b/docs/advanced_features/speculative_decoding.ipynb
@@ -284,7 +284,7 @@
    "source": [
     "## Multi Token Prediction\n",
     "\n",
-    "We support [MTP(Multi-Token Prediction)](https://arxiv.org/pdf/2404.19737) in SGLang by using speculative decoding. We use Xiaomi/MiMo-7B-RL model as example here (deepseek mtp usage refer to [deepseek doc](../references/deepseek.md#multi-token-prediction))"
+    "We support [MTP(Multi-Token Prediction)](https://arxiv.org/pdf/2404.19737) in SGLang by using speculative decoding. We use Xiaomi/MiMo-7B-RL model as example here (deepseek mtp usage refer to [deepseek doc](../basic_usage/deepseek.md#multi-token-prediction))"
    ]
   },
   {
diff --git a/docs/references/multi_node_deployment/multi_node.md b/docs/references/multi_node_deployment/multi_node.md
index 79b70e311..204b60586 100644
--- a/docs/references/multi_node_deployment/multi_node.md
+++ b/docs/references/multi_node_deployment/multi_node.md
@@ -20,7 +20,7 @@ python -m sglang.launch_server --model-path meta-llama/Meta-Llama-3.1-405B-Instr
 
 ## DeepSeek V3/R1
 
-Please refer to [DeepSeek documents for reference](https://docs.sglang.ai/references/deepseek.html#running-examples-on-multi-node).
+Please refer to [DeepSeek documents for reference](https://docs.sglang.ai/basic_usage/deepseek.html#running-examples-on-multi-node).
 
 ## Multi-Node Inference on SLURM
 
diff --git a/sgl-kernel/README.md b/sgl-kernel/README.md
index c81a2af0b..5871d5347 100644
--- a/sgl-kernel/README.md
+++ b/sgl-kernel/README.md
@@ -121,7 +121,7 @@ ptxas --version
 
 ## Development Environment Setup
 
-Use Docker to set up the development environment. See [Docker setup guide](https://github.com/sgl-project/sglang/blob/main/docs/references/development_guide_using_docker.md#setup-docker-container).
+Use Docker to set up the development environment. See [Docker setup guide](https://github.com/sgl-project/sglang/blob/main/docs/developer_guide/development_guide_using_docker.md#setup-docker-container).
 
 Create and enter development container:
 ```bash