diff --git a/README.md b/README.md
index 349a45a9aa3..f4694e991e9 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
Intel® Neural Compressor
===========================
-
An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime, and MXNet)
+ An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, and ONNX Runtime)
[![python](https://img.shields.io/badge/python-3.8%2B-blue)](https://github.com/intel/neural-compressor)
[![version](https://img.shields.io/badge/release-3.0-green)](https://github.com/intel/neural-compressor/releases)
@@ -15,7 +15,7 @@ Intel® Neural Compressor
---
-Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [ONNX Runtime](https://onnxruntime.ai/), and [MXNet](https://mxnet.apache.org/),
+Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), and [ONNX Runtime](https://onnxruntime.ai/),
as well as Intel extensions such as [Intel Extension for TensorFlow](https://github.com/intel/intel-extension-for-tensorflow) and [Intel Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch).
In particular, the tool provides the key features, typical examples, and open collaborations as below:
diff --git a/docs/source/CONTRIBUTING.md b/docs/source/CONTRIBUTING.md
index 3378ba30e73..4decbfb6d0d 100644
--- a/docs/source/CONTRIBUTING.md
+++ b/docs/source/CONTRIBUTING.md
@@ -51,7 +51,7 @@ And generally use [Azure Cloud Instance](https://azure.microsoft.com/en-us/prici
| Code Scan | Bandit/CopyRight/DocStyle/SpellCheck | PASS |
| [DCO](https://github.com/apps/dco/) | Use `git commit -s` to sign off | PASS |
| Unit Test | Pytest scripts under [test](/test) | PASS (No failure, No core dump, No segmentation fault, No coverage drop) |
-| Model Test | Pytorch + TensorFlow + ONNX Runtime + MXNet | PASS (Functionality pass, FP32/INT8 No performance regression) |
+| Model Test | Pytorch + TensorFlow + ONNX Runtime | PASS (Functionality pass, FP32/INT8 No performance regression) |
## Support