6 citations · 15 across the 9 of their papers we have counts for
9 papers
GTBench: A Curriculum-Grounded Benchmark for Evaluating LLMs as Mathematical Research Assistants in Graph Theory
Noujoud Nader, Ibrahem Aljabea, Patrick Diehl +1
Large language models (LLMs) are increasingly used as self-study assistants in technical disciplines, yet their reliability as mathematical reasoning assistants remains poorly unde…
StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
Noujoud Nader, Stefanos Giaremis, Clint Dawson +3
Storm surge forecasting remains a critical challenge in mitigating the impacts of tropical cyclones on coastal regions, particularly given recent trends of rapid intensification an…
HURRI-GAN: A Novel Approach for Hurricane Bias-Correction Beyond Gauge Stations using Generative Adversarial Networks
Noujoud Nadera, Hadi Majed, Stefanos Giaremis +4
The coastal regions of the eastern and southern United States are impacted by severe storm events, leading to significant loss of life and properties. Accurately forecasting storm…
LLM-HPC++: Evaluating LLM-Generated Modern C++ and MPI+OpenMP Codes for Scalable Mandelbrot Set Computation
Patrick Diehl, Noujoud Nader, Deepti Gupta
Parallel programming remains one of the most challenging aspects of High-Performance Computing (HPC), requiring deep knowledge of synchronization, communication, and memory models.…
Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++
Akshay Mhatre, Noujoud Nader, Patrick Diehl +1
Large Language Models (LLMs) such as ChatGPT-4, Claude 3, and LLaMA 4 are increasingly embedded in software/application development, supporting tasks from code generation to debugg…
LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks
Noujoud Nader, Patrick Diehl, Steve Brandt +1
Large Language Models (LLMs), such as GPT-4 and DeepSeek, have been applied to a wide range of domains in software engineering. However, their potential in the context of High-Perf…
Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust
Patrick Diehl, Noujoud Nader, Steve Brandt +1
This study evaluates the capabilities of ChatGPT versions 3.5 and 4 in generating code across a diverse range of programming languages. Our objective is to assess the effectiveness…
ML-based identification of the interface regions for coupling local and nonlocal models
Noujoud Nader, Patrick Diehl, Marta D'Elia +2
Local-nonlocal coupling approaches combine the computational efficiency of local models and the accuracy of nonlocal models. However, the coupling process is challenging, requiring…
Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
Stefanos Giaremis, Noujoud Nader, Clint Dawson +3
Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to w…