Attention Is All You Need But You Don’t Need All Of It For Inference…

… of Large Language Models

README.md

@@ -287,6 +287,7 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2023.10|🔥[**LITE**] Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE(@Arizona State University) | [[pdf]](https://arxiv.org/pdf/2310.18581v2.pdf)|⚠️|⭐️⭐️ | 
 |2023.12|🔥🔥[**EE-LLM**] EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism(@alibaba-inc.com) | [[pdf]](https://arxiv.org/pdf/2312.04916.pdf)| [[EE-LLM]](https://github.com/pan-x-c/EE-LLM) ![](https://img.shields.io/github/stars/pan-x-c/EE-LLM.svg?style=social) |⭐️⭐️ |    
 |2023.10|🔥[**FREE**] Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding(@KAIST AI&AWS AI)|[[pdf]](https://arxiv.org/pdf/2310.05424.pdf)| [[fast_robust_early_exit]](https://github.com/raymin0223/fast_robust_early_exit) ![](https://img.shields.io/github/stars/raymin0223/fast_robust_early_exit.svg?style=social) |⭐️⭐️ |    
+|2024.07| [Skip Attention] Attention Is All You Need But You Don’t Need All Of It For Inference of Large Language Models(@University College London)| [[pdf]](https://arxiv.org/pdf/2407.15516)|⚠️|⭐️⭐️ | 
 
 ### 📖Parallel Decoding/Sampling ([©️back👆🏻](#paperlist))     
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