diff --git a/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt b/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt
index e779b035034..9effca0e05b 100644
--- a/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt
+++ b/.azure-pipelines/scripts/codeScan/pyspelling/inc_dict.txt
@@ -2500,4 +2500,5 @@ HBM
 Ponte
 SmoothQuant
 Vecchio
-WeChat
\ No newline at end of file
+WeChat
+QuaLA
diff --git a/README.md b/README.md
index ff1afab9507..5bb41337622 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@ Intel® Neural Compressor
 <h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime, and MXNet)</h3>
 
 [![python](https://img.shields.io/badge/python-3.7%2B-blue)](https://github.com/intel/neural-compressor)
-[![version](https://img.shields.io/badge/release-1.14-green)](https://github.com/intel/neural-compressor/releases)
+[![version](https://img.shields.io/badge/release-2.0-green)](https://github.com/intel/neural-compressor/releases)
 [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/intel/neural-compressor/blob/master/LICENSE)
 [![coverage](https://img.shields.io/badge/coverage-90%25-green)](https://github.com/intel/neural-compressor)
 [![Downloads](https://static.pepy.tech/personalized-badge/neural-compressor?period=total&units=international_system&left_color=grey&right_color=green&left_text=downloads)](https://pepy.tech/project/neural-compressor)
@@ -226,11 +226,12 @@ Intel® Neural Compressor validated the quantization for 10K+ models from popula
 </table>
 
 ## Selected Publications/Events
-* Blog on Medium: [MLefficiency — Optimizing transformer models for efficiency](https://medium.com/@kawapanion/mlefficiency-optimizing-transformer-models-for-efficiency-a9e230cff051)(Dec 2022)
-* Blog on Medium: [One-Click Acceleration of Hugging Face Transformers with Intel’s Neural Coder](https://medium.com/intel-analytics-software/one-click-acceleration-of-huggingface-transformers-with-optimum-intel-by-neural-coder-f35ca3b1a82f)(Dec 2022)
-* Blog on Medium: [One-Click Quantization of Deep Learning Models with the Neural Coder Extension](https://medium.com/intel-analytics-software/one-click-quantize-your-deep-learning-code-in-visual-studio-code-with-neural-coder-extension-8be1a0022c29)(Dec 2022)
-* Blog on Medium: [Accelerate Stable Diffusion with Intel Neural Compressor](https://medium.com/intel-analytics-software/accelerating-stable-diffusion-inference-through-8-bit-post-training-quantization-with-intel-neural-e28f3615f77c)(Dec 2022)
-* Blog on WeChat: [Intel together with Tencent deepens the cooperation to build a cloud foundation for digital and intelligent industry](https://mp.weixin.qq.com/s/CPz9-5Nsh-5N9Q8-UmK--w) (Dec 2022)
+* NeurIPS'2022: [Fast Distilbert on CPUs](https://arxiv.org/abs/2211.07715) (Dec 2022)
+* NeurIPS'2022: [QuaLA-MiniLM: a Quantized Length Adaptive MiniLM](https://arxiv.org/abs/2210.17114) (Dec 2022)
+* Blog on Medium: [MLefficiency — Optimizing transformer models for efficiency](https://medium.com/@kawapanion/mlefficiency-optimizing-transformer-models-for-efficiency-a9e230cff051) (Dec 2022)
+* Blog on Medium: [One-Click Acceleration of Hugging Face Transformers with Intel’s Neural Coder](https://medium.com/intel-analytics-software/one-click-acceleration-of-huggingface-transformers-with-optimum-intel-by-neural-coder-f35ca3b1a82f) (Dec 2022)
+* Blog on Medium: [One-Click Quantization of Deep Learning Models with the Neural Coder Extension](https://medium.com/intel-analytics-software/one-click-quantize-your-deep-learning-code-in-visual-studio-code-with-neural-coder-extension-8be1a0022c29) (Dec 2022)
+* Blog on Medium: [Accelerate Stable Diffusion with Intel Neural Compressor](https://medium.com/intel-analytics-software/accelerating-stable-diffusion-inference-through-8-bit-post-training-quantization-with-intel-neural-e28f3615f77c) (Dec 2022)
 
 > View our [full publication list](./docs/source/publication_list.md).