🔥🔥[Quest] Quest: Query-Aware Sparsity for Efficient Long-Context LLM …

…Inference(@mit-han-lab etc)

README.md

@@ -269,6 +269,8 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2024.06|🔥[LOOK-M] LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference(@osu.edu etc)| [[pdf]](https://arxiv.org/pdf/2406.18139) | [[LOOK-M]](https://github.com/SUSTechBruce/LOOK-M) ![](https://img.shields.io/github/stars/SUSTechBruce/LOOK-M.svg?style=social) |⭐️⭐️ | 
 |2024.06|🔥🔥[**MInference**] MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention(@Microsoft etc)| [[pdf]](https://arxiv.org/pdf/2407.02490) | [[MInference]](https://github.com/microsoft/MInference) ![](https://img.shields.io/github/stars/microsoft/MInference.svg?style=social) |⭐️⭐️ |
 |2024.06|🔥🔥[**InfiniGen**] InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management(@snu) | [[pdf]](https://arxiv.org/pdf/2406.19707) | ⚠️ |⭐️⭐️ |  
+|2024.06|🔥🔥[**Quest**] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference(@mit-han-lab etc) | [[pdf]](https://arxiv.org/pdf/2406.10774)| [[Quest]](https://github.com/mit-han-lab/Quest) ![](https://img.shields.io/github/stars/mit-han-lab/Quest.svg?style=social) |⭐️⭐️ |
+
 
 ### 📖Early-Exit/Intermediate Layer Decoding ([©️back👆🏻](#paperlist))  
 <div id="Early-Exit"></div>