🔥🔥[DeFT] DeFT: Decoding with Flash Tree-Attention for Efficient Tree-…

…structured LLM Inference(@westlake University etc)

README.md

@@ -170,7 +170,7 @@ Awesome-LLM-Inference: A curated list of [📙Awesome LLM Inference Papers with
 |2023.12|[SCCA] SCCA: Shifted Cross Chunk Attention for long contextual semantic expansion(@Beihang University)| [[pdf]](https://arxiv.org/pdf/2312.07305.pdf) | ⚠️ |⭐️ |  
 |2023.12|🔥[**FlashLLM**] LLM in a flash: Efficient Large Language Model Inference with Limited Memory(@Apple)| [[pdf]](https://arxiv.org/pdf/2312.11514.pdf) | ⚠️ |⭐️⭐️ |  
 |2024.03|🔥🔥[CHAI] CHAI: Clustered Head Attention for Efficient LLM Inference(@cs.wisc.edu etc)| [[pdf]](https://arxiv.org/pdf/2403.08058.pdf) | ⚠️ |⭐️⭐️ |  
-|2024.04| [Flash Tree Attention] DEFT: FLASH TREE-ATTENTION WITH IO-AWARENESS FOR EFFICIENT TREE-SEARCH-BASED LLM INFERENCE(@Westlake University etc)| [[pdf]](https://arxiv.org/pdf/2404.00242.pdf) | ⚠️ |⭐️⭐️ |  
+|2024.04|🔥🔥[DeFT] DeFT: Decoding with Flash Tree-Attention for Efficient Tree-structured LLM Inference(@Westlake University etc)| [[pdf]](https://arxiv.org/pdf/2404.00242) | ⚠️ |⭐️⭐️ |  
 
 ### 📖KV Cache Scheduling/Quantize/Dropping ([©️back👆🏻](#paperlist))    
 <div id="KV-Cache-Scheduling-Quantize-Dropping"></div>