update publication in README.md

Signed-off-by: chensuyue <suyue.chen@intel.com>

Author: chensuyue

README.md

@@ -173,12 +173,10 @@ model = load(
 
 ## Selected Publications/Events
 
+* arXiv: [Faster Inference of LLMs using FP8 on the Intel Gaudi](https://arxiv.org/abs/2503.09975) (Mar 2025)
+* PyTorch landscape: [PyTorch general optimizations](https://landscape.pytorch.org/) (Mar 2025)
+* Blog on SqueezeBits: [[Intel Gaudi] #4. FP8 Quantization](https://blog.squeezebits.com/intel-gaudi-4-fp8-quantization--40269) (Jan 2025)
 * 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)
-* Blog by Intel: [Accelerate Meta* Llama 3 with Intel AI Solutions](https://www.intel.com/content/www/us/en/developer/articles/technical/accelerate-meta-llama3-with-intel-ai-solutions.html) (Apr 2024)
-* EMNLP'2023 (Under Review): [TEQ: Trainable Equivalent Transformation for Quantization of LLMs](https://openreview.net/forum?id=iaI8xEINAf&referrer=%5BAuthor%20Console%5D) (Sep 2023)
 * arXiv: [Efficient Post-training Quantization with FP8 Formats](https://arxiv.org/abs/2309.14592) (Sep 2023)
 * arXiv: [Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs](https://arxiv.org/abs/2309.05516) (Sep 2023)