3 citations · 10 across the 21 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
LLMSteer: Improving Long-Context LLM Inference by Steering Attention on Reused Contexts
Zhuohan Gu, Jiayi Yao, Kuntai Du +1
As large language models (LLMs) show impressive performance on complex tasks, they still struggle with longer contextual understanding and high computational costs. To balance effi…
cs.MA2024★ 2 cited
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving
Yuhan Liu, Yuyang Huang, Jiayi Yao +9
Compound AI systems, such as agentic systems, are an emerging trend in large-scale enterprise settings, with multiple LLMs specialized for different users, tasks, and/or roles work…
cs.LG2024★ 2 cited
CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
Jiayi Yao, Hanchen Li, Yuhan Liu +6
Large language models (LLMs) often incorporate multiple text chunks in their inputs to provide the necessary contexts. To speed up the prefill of the long LLM inputs, one can pre-c…