3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AR2025
HaShiFlex: A High-Throughput Hardened Shifter DNN Accelerator with Fine-Tuning Flexibility
Jonathan Herbst, Michael Pellauer, Sherief Reda
We introduce a high-throughput neural network accelerator that embeds most network layers directly in hardware, minimizing data transfer and memory usage while preserving a degree…
cs.CL2024★ 3 cited
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
Ahmed Agiza, Mohamed Mostagir, Sherief Reda
In an era where language models are increasingly integrated into decision-making and communication, understanding the biases within Large Language Models (LLMs) becomes imperative,…