From 32680bee00de2a59811091648b9a6dcf63103ddd Mon Sep 17 00:00:00 2001 From: DefTruth <31974251+DefTruth@users.noreply.github.com> Date: Sat, 25 May 2024 13:58:05 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a03cd32..fef8b9b 100644 --- a/README.md +++ b/README.md @@ -241,7 +241,7 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with |2024.04|🔥🔥[RAGCache] RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation(@Peking University&ByteDance Inc) | [[pdf]](https://arxiv.org/pdf/2404.12457.pdf) | ⚠️ |⭐️⭐️ | |2024.04|🔥🔥[**KCache**] EFFICIENT LLM INFERENCE WITH KCACHE(@Qiaozhi He, Zhihua Wu)| [[pdf]](https://arxiv.org/pdf/2404.18057) | ⚠️ |⭐️⭐️ | |2024.05|🔥🔥[YOCO] You Only Cache Once: Decoder-Decoder Architectures for Language Models(@Microsoft)| [[pdf]](https://arxiv.org/pdf/2405.05254) | [[unilm-YOCO]](https://github.com/microsoft/unilm/tree/master/YOCO) ![](https://img.shields.io/github/stars/microsoft/unilm.svg?style=social) |⭐️⭐️ | -|2024.05|🔥🔥[SQKV] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models(@Shanghai AI Laboratory)| [[pdf]](https://arxiv.org/pdf/2405.06219) | ⚠️ |⭐️⭐️ | +|2024.05|🔥🔥[SKVQ] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models(@Shanghai AI Laboratory)| [[pdf]](https://arxiv.org/pdf/2405.06219) | ⚠️ |⭐️⭐️ | ### 📖Early-Exit/Intermediate Layer Decoding ([©️back👆🏻](#paperlist))