2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
RAILS: Retrieval-Augmented Intelligence for Learning Software Development
Wali Mohammad Abdullah, Md. Morshedul Islam, Devraj Parmar +3
Large Language Models (LLMs) like GPT-3.5-Turbo are increasingly used to assist software development, yet they often produce incomplete code or incorrect imports, especially when l…
P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code
Wali Mohammad Abdullah, Azmain Kabir
We present P4OMP, a retrieval-augmented framework for transforming serial C/C++ code into OpenMP-annotated parallel code using large language models (LLMs). To our knowledge, this…
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur +9
Foundation models (FMs), such as Large Language Models (LLMs), have revolutionized software development by enabling new use cases and business models. We refer to software built us…