activity
20232025
most citedEloquent: A More Robust Transmission Scheme for LLM Token Streaming

8 citations · 12 across the 8 of their papers we have counts for

collaborators

8 papers

cs.OS2025

AdaptCache: KV Cache Native Storage Hierarchy for Low-Delay and High-Quality Language Model Serving

Shaoting Feng, Hanchen Li, Kuntai Du +8

Large language model (LLM) applications often reuse previously processed context, such as chat history and documents, which introduces significant redundant computation. Existing L…

cs.NI2025

Towards More Economical Context-Augmented LLM Generation by Reusing Stored KV Cache

Hanchen Li, Yuhan Liu, Yihua Cheng +2

Across large language model (LLM) applications, we observe an emerging trend for reusing KV caches to save the prefill delays of processing repeated input texts in different LLM in…

cs.NI2024

Loss-tolerant neural video codec aware congestion control for real time video communication

Zhengxu Xia, Hanchen Li, Junchen Jiang

Because of reinforcement learning's (RL) ability to automatically create more adaptive controlling logics beyond the hand-crafted heuristics, numerous effort has been made to apply…

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…

cs.NI2024★ 8 cited

Eloquent: A More Robust Transmission Scheme for LLM Token Streaming

Hanchen Li, Yuhan Liu, Yihua Cheng +3

To render each generated token in real-time for users, the Large Language Model (LLM) server generates tokens one by one and streams each token (or group of a few tokens) through t…

cs.HC2023

VidPlat: A Tool for Fast Crowdsourcing of Quality-of-Experience Measurements

Xu Zhang, Hanchen Li, Paul Schmitt +3

For video or web services, it is crucial to measure user-perceived quality of experience (QoE) at scale under various video quality or page loading delays. However, fast QoE measur…

cs.NI2023

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Yuhan Liu, Hanchen Li, Yihua Cheng +11

As large language models (LLMs) take on complex tasks, their inputs are supplemented with longer contexts that incorporate domain knowledge. Yet using long contexts is challenging,…