Add SDMPrune paper (#153)

* add SDMPrune paper

* add SDMPrune paper

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Co-authored-by: ChengchaoShen <scc@csu.com>

Author: sccbhxc

README.md

@@ -463,6 +463,7 @@ python3 download_pdfs.py # The code is generated by Doubao AI
 |2024.01|[**Admm Pruning**] Fast and Optimal Weight Update for Pruned Large Language Models(@fmph.uniba.sk)|[[pdf]](https://arxiv.org/pdf/2401.02938.pdf)|[[admm-pruning]](https://github.com/fmfi-compbio/admm-pruning) ![](https://img.shields.io/github/stars/fmfi-compbio/admm-pruning.svg?style=social)|⭐️ |
 |2024.01|[FFSplit] FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference(@1Rice University etc) | [[pdf]](https://arxiv.org/pdf/2401.04044.pdf) |  ⚠️ |⭐️|
 |2025.03|🔥[**Simba**] Sparsified State-Space Models are Efficient Highway Networks(@KAIST)| [[pdf]](https://arxiv.org/abs/2505.20698)|[[Simba]](https://github.com/woominsong/Simba) ![](https://img.shields.io/github/stars/woominsong/Simba.svg?style=social)|⭐️ |
+|2025.06|[SDMPrune] SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models (@CSU)| [[pdf]](https://arxiv.org/abs/2506.11120) |[[SDMPrune]](https://github.com/visresearch/SDMPrune)![](https://img.shields.io/github/stars/visresearch/SDMPrune.svg?style=social&label=Star)|⭐️⭐️ |
 
 ### 📖Mixture-of-Experts(MoE) LLM Inference ([©️back👆🏻](#paperlist))
 <div id="Mixture_of_Experts_LLM_Inference"></div>