add autoround EMNLP24 to pub list (#2014)

Signed-off-by: Huang, Tai <[email protected]>

README.md

@@ -181,6 +181,8 @@ Intel Neural Compressor will convert the model format from auto-gptq to hpu form
 > From 3.0 release, we recommend to use 3.X API. Compression techniques during training such as QAT, Pruning, Distillation only available in [2.X API](https://github.com/intel/neural-compressor/blob/master/docs/source/2x_user_guide.md) currently.
 
 ## Selected Publications/Events
+
+* EMNLP'2024: [Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs](https://arxiv.org/abs/2309.05516) (Sep 2024)
 * Blog on Medium: [Quantization on Intel Gaudi Series AI Accelerators](https://medium.com/intel-analytics-software/intel-neural-compressor-v3-0-a-quantization-tool-across-intel-hardware-9856adee6f11) (Aug 2024)
 * Blog by Intel: [Neural Compressor: Boosting AI Model Efficiency](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Neural-Compressor-Boosting-AI-Model-Efficiency/post/1604740) (June 2024)
 * Blog by Intel: [Optimization of Intel AI Solutions for Alibaba Cloud’s Qwen2 Large Language Models](https://www.intel.com/content/www/us/en/developer/articles/technical/intel-ai-solutions-accelerate-alibaba-qwen2-llms.html) (June 2024)

docs/source/publication_list.md

@@ -1,6 +1,7 @@
-Full Publications/Events (84)
+Full Publications/Events (85)
 ==========
-## 2024 (5)
+## 2024 (6)
+* EMNLP'2024: [Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs](https://arxiv.org/abs/2309.05516) (Sep 2024)
 * Blog on Medium: [Quantization on Intel Gaudi Series AI Accelerators](https://medium.com/intel-analytics-software/intel-neural-compressor-v3-0-a-quantization-tool-across-intel-hardware-9856adee6f11) (Aug 2024)
 * Blog on Medium: [Accelerating Qwen2 Models with Intel Extension for Transformers](https://medium.com/intel-analytics-software/accelerating-qwen2-models-with-intel-extension-for-transformers-99403de82f68) (June 2024)
 * Blog by Intel: [Neural Compressor: Boosting AI Model Efficiency](https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Neural-Compressor-Boosting-AI-Model-Efficiency/post/1604740) (June 2024)