6 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…
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.…
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…
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…