conference-paper

Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT

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Abstract

While large language models (LLMs) like ChatGPT has demonstrated impressive capabilities in addressing various software engineering tasks, their use in a model-driven engineering (MDE) context is still in an early stage. Since the technology is proprietary and accessible solely through an API, its use may be incompatible with the strict protection of intellectual properties in industrial models. While there are open-source LLM alternatives, they often lack the power of proprietary models and require extensive data fine-tuning to realize their full potential. Furthermore, open-source datasets tailored for MDE tasks are scarce, posing challenges for training such models effectively.

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Publication details

DOI
10.1145/3640310.3674091
OpenAlex
W4402977990
Document type
conference-paper
Language
EN
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