no code implementations • 10 Apr 2024 • 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, especially when these models are applied in the economic and political domains.
1 code implementation • 29 Mar 2024 • Ahmed Agiza, Marina Neseem, Sherief Reda
Adapting models pre-trained on large-scale datasets to a variety of downstream tasks is a common strategy in deep learning.
no code implementations • 7 Aug 2023 • Ahmed Agiza, Rajarshi Roy, Teodor Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro
Given a gate-level netlist of a circuit represented as a graph, GraPhSyM utilizes graph structure, connectivity, and electrical property features to predict the impact of physical synthesis transformations such as buffer insertion and gate sizing.
1 code implementation • 17 Apr 2023 • Marina Neseem, Ahmed Agiza, Sherief Reda
Specifically, we attach a task-aware lightweight policy network to the shared encoder and co-train it alongside the MTL model to recognize unnecessary computations.