April 9, 2024, 4:51 a.m. | Nenad Petrovic, Fengjunjie Pan, Krzysztof Lebioda, Vahid Zolfaghari, Sven Kirchner, Nils Purschke, Muhammad Aqib Khan, Viktor Vorobev, Alois Knoll

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.05508v1 Announce Type: cross
Abstract: We present a prototype of a tool leveraging the synergy of model driven engineering (MDE) and Large Language Models (LLM) for the purpose of software development process automation in the automotive industry. In this approach, the user-provided input is free form textual requirements, which are first translated to Ecore model instance representation using an LLM, which is afterwards checked for consistency using Object Constraint Language (OCL) rules. After successful consistency check, the model instance is …

abstract arxiv automated automation automotive cs.ai cs.cl cs.se development engineering industry language language model language models large language large language model large language models llm mde process process automation software software development synergy systems tool type

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Autonomy Applications

@ BHP | Chile

Quant Analytics Associate - Data Visualization

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India