3 papers
cs.CR2026
Lazy Arithmetic using Systolic Arrays for Closing the Verification Gap on Embedded Systems
Taisa Kushner, Ryan McCleeary, Martin Brain
Complex algorithms such as deep neural networks are increasingly being deployed on embedded, resource constrained platforms. However, existing hardware and software schemes for imp…
cs.LG2026
A Regression Framework for Understanding Prompt Component Impact on LLM Performance
Andrew Lauziere, Jonathan Daugherty, Taisa Kushner
As large language models (LLMs) continue to improve and see further integration into software systems, so does the need to understand the conditions in which they will perform. We…
cs.LG2025
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
Amirhossein Kazerouni, Soroush Mehraban, Michael Brudno +1
Implicit Neural Representations (INRs) are proving to be a powerful paradigm in unifying task modeling across diverse data domains, offering key advantages such as memory efficienc…