🔥🔥[DistKV-LLM] Infinite-LLM: Efficient LLM Service for Long Context w…

…ith DistAttention and Distributed KVCache(@alibaba etc)

README.md

@@ -177,7 +177,8 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2023.10|🔥[**Adaptive KV Cache Compress**] MODEL TELLS YOU WHAT TO DISCARD: ADAPTIVE KV CACHE COMPRESSION FOR LLMS(@illinois.edu&microsoft)|[[pdf]](https://arxiv.org/pdf/2310.01801.pdf)|⚠️|⭐️⭐️ |  
 |2023.10|[CacheGen] CacheGen: Fast Context Loading for Language Model Applications(@Chicago University&Microsoft)|[[pdf]](https://arxiv.org/pdf/2310.07240.pdf)|⚠️|⭐️ |  
 |2023.12|[KV-Cache Optimizations] Leveraging Speculative Sampling and KV-Cache Optimizations Together for Generative AI using OpenVINO(@Haim Barad etc) | [[pdf]](https://arxiv.org/pdf/2311.04951.pdf)|⚠️|⭐️ |    
-|2023.11|[Prompt Cache] PROMPT CACHE: MODULAR ATTENTION REUSE FOR LOW-LATENCY INFERENCE(@Yale University etc)|[[pdf]](https://arxiv.org/pdf/2311.04934.pdf)|⚠️|⭐️ |
+|2023.11|🔥[Prompt Cache] PROMPT CACHE: MODULAR ATTENTION REUSE FOR LOW-LATENCY INFERENCE(@Yale University etc)|[[pdf]](https://arxiv.org/pdf/2311.04934.pdf)|⚠️|⭐️⭐️ |
+|2024.01|🔥🔥[**DistKV-LLM**] Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache(@Alibaba etc)|[[pdf]](https://arxiv.org/pdf/2401.02669.pdf)|⚠️|⭐️⭐️ |
 
 ### 📖Early-Exit/Intermediate Layer Decoding ([©️back👆🏻](#paperlist))  
 <div id="Early-Exit"></div>