15 citations · 15 across the 4 of their papers we have counts for
4 papers
Automatic and Efficient Customization of Neural Networks for ML Applications
Yuhan Liu, Chengcheng Wan, Kuntai Du +4
ML APIs have greatly relieved application developers of the burden to design and train their own neural network models -- classifying objects in an image can now be as simple as on…
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,…
QURATOR: Innovative Technologies for Content and Data Curation
Georg Rehm, Peter Bourgonje, Stefanie Hegele +37
In all domains and sectors, the demand for intelligent systems to support the processing and generation of digital content is rapidly increasing. The availability of vast amounts o…
Language Support for Adaptation: Intent-Driven Programming in FAST
Yao-Hsiang Yang, Adam Duracz, Ferenc A. Bartha +7
Historically, programming language semantics has focused on assigning a precise mathematical meaning to programs. That meaning is a function from the program's input domain to its…