1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.ET2025★ 1 cited
When to Reason: Semantic Router for vLLM
Chen Wang, Xunzhuo Liu, Yuhan Liu +4
Large Language Models (LLMs) demonstrate substantial accuracy gains when augmented with reasoning modes such as chain-of-thought and inference-time scaling. However, reasoning also…
cs.LG2025
LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference
Yuhan Liu, Yihua Cheng, Jiayi Yao +8
KV cache has traditionally been stored in GPU memory to accelerate the decoding phase of large language model (LLM) inference. However, it is increasingly necessary to move KV cach…
cs.DC2025
ShadowServe: Interference-Free KV Cache Fetching for Distributed Prefix Caching
Xingyu Xiang, Raj Joshi, Yuhan Liu +6
Distributed prefix caching accelerates long-context LLM serving by reusing KV cache entries for common context prefixes. However, KV cache fetches can become a bottleneck when netw…