diff --git a/doc/doc_ch/algorithm_kie_vi_layoutxlm.md b/doc/doc_ch/algorithm_kie_vi_layoutxlm.md
index 6c69230e020d8ead1ca3f917676730afaf0a19f8..1ec778a899d8e3e66164f6d1deb902bca36ad65a 100644
--- a/doc/doc_ch/algorithm_kie_vi_layoutxlm.md
+++ b/doc/doc_ch/algorithm_kie_vi_layoutxlm.md
@@ -45,7 +45,7 @@ VI-LayoutXLM基于LayoutXLM进行改进，在下游任务训练过程中，去
 
 ### 4.1 Python推理
 
--SER
+- SER
 
 首先将训练得到的模型转换成inference model。以VI-LayoutXLM模型在XFUND_zh数据集上训练的模型为例（[模型下载地址](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)），可以使用下面的命令进行转换。
 
@@ -74,7 +74,7 @@ SER可视化结果默认保存到`./output`文件夹里面，结果示例如下
     <img src="../../ppstructure/docs/kie/result_ser/zh_val_42_ser.jpg" width="800">
 </div>
 
--RE
+- RE
 
 首先将训练得到的模型转换成inference model。以VI-LayoutXLM模型在XFUND_zh数据集上训练的模型为例（[模型下载地址](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)），可以使用下面的命令进行转换。
 
diff --git a/doc/doc_en/algorithm_kie_vi_layoutxlm_en.md b/doc/doc_en/algorithm_kie_vi_layoutxlm_en.md
index fab761f5a957c2bfdd42e09d22da27410a2ad423..798a52ca8cd9ce0de6b942294a22c11f64c9ac2f 100644
--- a/doc/doc_en/algorithm_kie_vi_layoutxlm_en.md
+++ b/doc/doc_en/algorithm_kie_vi_layoutxlm_en.md
@@ -37,7 +37,7 @@ Please refer to [KIE tutorial](./kie_en.md)。PaddleOCR has modularized the code
 
 ### 4.1 Python Inference
 
--SER
+- SER
 
 First, we need to export the trained model into inference model. Take VI-LayoutXLM model trained on XFUND_zh as an example ([trained model download link](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/ser_vi_layoutxlm_xfund_pretrained.tar)). Use the following command to export.
 
@@ -70,7 +70,7 @@ The SER visualization results are saved in the `./output` folder by default. The
 </div>
 
 
--RE
+- RE
 
 First, we need to export the trained model into inference model. Take VI-LayoutXLM model trained on XFUND_zh as an example ([trained model download link](https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layoutxlm_xfund_pretrained.tar)). Use the following command to export.
 
diff --git a/ppstructure/kie/README.md b/ppstructure/kie/README.md
index ae39d51dd320ca99de962a9a8b8a1ed0dab9d105..872edb959276e22b22e4b733df44bdb6a6819c98 100644
--- a/ppstructure/kie/README.md
+++ b/ppstructure/kie/README.md
@@ -219,7 +219,7 @@ wget https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layou
 cd ..
 ```
 
--SER
+- SER
 
 Use the following command for inference.
 
@@ -237,7 +237,7 @@ python3 kie/predict_kie_token_ser.py \
 
 The visual results and text file will be saved in directory `output`.
 
--RE
+- RE
 
 Use the following command for inference.
 
diff --git a/ppstructure/kie/README_ch.md b/ppstructure/kie/README_ch.md
index 15de1507fa16d9cf696a485ae89a5c95188b2f92..7a8b1942b1849834f8843c8f272ce08e95f4b993 100644
--- a/ppstructure/kie/README_ch.md
+++ b/ppstructure/kie/README_ch.md
@@ -203,7 +203,7 @@ wget https://paddleocr.bj.bcebos.com/ppstructure/models/vi_layoutxlm/re_vi_layou
 cd ..
 ```
 
--SER
+- SER
 
 执行下面的命令进行预测。
 
@@ -220,7 +220,7 @@ python3 kie/predict_kie_token_ser.py \
 
 可视化结果保存在`output`目录下。
 
--RE
+- RE
 
 执行下面的命令进行预测。