Update new paper (KVzip) (#149)

Author: Janghyun1230

README.md

@@ -340,6 +340,7 @@ python3 download_pdfs.py # The code is generated by Doubao AI
 |2025.02|🔥[**DynamicLLaVA**] [ICLR2025] Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification (@ECNU, Xiaohongshu)|[[pdf]](https://arxiv.org/pdf/2412.00876)|[[DynamicLLaVA]](https://github.com/Osilly/dynamic_llava) ![](https://img.shields.io/github/stars/Osilly/dynamic_llava.svg?style=social&label=Star)|⭐️⭐️|
 |2025.02|🔥[**CacheCraft**] Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation(@Adobe Research)|[[pdf]](https://www.arxiv.org/pdf/2502.15734)|⚠️|⭐️⭐️ |
 |2025.04|🔥[**KV Cache Prefetch**] Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching(@Alibaba)|[[pdf]](https://arxiv.org/pdf/2504.06319)|⚠️|⭐️⭐️ |
+|2025.05|🔥[**KVzip**] KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction (@SNU)|[[pdf]](https://arxiv.org/abs/2505.23416)|[[KVzip]](https://github.com/snu-mllab/KVzip) ![](https://img.shields.io/github/stars/snu-mllab/KVzip.svg?style=social&label=Star)|⭐️⭐️|
 
 ### 📖Prompt/Context/KV Compression ([©️back👆🏻](#paperlist))
 <div id="Context-Compression"></div>