4 citations · 16 across the 20 of their papers we have counts for
5 papers · 1 filter
HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support
Nourin Shahin, Izzat Alsmadi
Modern scientific research increasingly depends on High-Performance Computing (HPC) infrastructures, yet many researchers face significant operational barriers when interacting wit…
HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
Yifan Lu, Ziyun Zou, Belal Alsinglawi +6
Graph Transformers have recently achieved remarkable progress in graph representation learning by capturing long-range dependencies through self-attention. However, their quadratic…
Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study
Ramya Jonnala, Gongbo Liang, Jeong Yang +1
The integration of large language models (LLMs) into public transit systems presents a transformative opportunity to enhance urban mobility. This study explores the potential of LL…
Benchmark Assessment for DeepSpeed Optimization Library
Gongbo Liang, Izzat Alsmadi
Deep Learning (DL) models are widely used in machine learning due to their performance and ability to deal with large datasets while producing high accuracy and performance metrics…
Adversarial Machine Learning in Text Analysis and Generation
Izzat Alsmadi
The research field of adversarial machine learning witnessed a significant interest in the last few years. A machine learner or model is secure if it can deliver main objectives wi…