3 citations · 4 across the 4 of their papers we have counts for
4 papers
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,…
MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
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. Consequently, parameter-efficient fine-tuning methods ha…
GraPhSyM: Graph Physical Synthesis Model
Ahmed Agiza, Rajarshi Roy, Teodor Dumitru Ene +3
In this work, we introduce GraPhSyM, a Graph Attention Network (GATv2) model for fast and accurate estimation of post-physical synthesis circuit delay and area metrics from pre-phy…
AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning
Marina Neseem, Ahmed Agiza, Sherief Reda
Modern Augmented reality applications require performing multiple tasks on each input frame simultaneously. Multi-task learning (MTL) represents an effective approach where multipl…