1 citations · 1 across the 3 of their papers we have counts for
3 papers
LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study
Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer +5
Large Language Models (LLMs) are increasingly being leveraged for generating and translating scientific computer codes by both domain-experts and non-domain experts. Fortran has se…
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
Selma Wanna, Ryan Barron, Nick Solovyev +4
Topic modeling is a technique for organizing and extracting themes from large collections of unstructured text. Non-negative matrix factorization (NMF) is a common unsupervised app…
Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning
Selma Wanna, Fabian Parra, Robert Valner +2
Recent advances in generative modeling have spurred a resurgence in the field of Embodied Artificial Intelligence (EAI). EAI systems typically deploy large language models to physi…