Using grammar masking to ensure syntactic validity in llm-based modeling tasks

L Netz, J Reimer, B Rumpe - Proceedings of the ACM/IEEE 27th …, 2024 - dl.acm.org
Low-code development platforms (LCDPs) are becoming increasingly important in industry,
which confronts us in academic teaching with the challenge of educating students in the …

Wiping out the limitations of Large Language Models--A Taxonomy for Retrieval Augmented Generation

MM Li, I Nikishina, Ö Sevgili, M Semmann - arXiv preprint arXiv …, 2024 - arxiv.org
Current research on RAGs is distributed across various disciplines, and since the
technology is evolving very quickly, its unit of analysis is mostly on technological …

DSL-Xpert: LLM-driven Generic DSL Code Generation

V Lamas, M R. Luaces, D Garcia-Gonzalez - Proceedings of the ACM …, 2024 - dl.acm.org
Nowadays, large language models (LLMs) are an extremely useful and fast tool to
complement and help in many jobs and current problems. However, there are cases where …

From a Natural to a Formal Language with DSL Assistant

M M. Mosthaf, A Wasowski - Proceedings of the ACM/IEEE 27th …, 2024 - dl.acm.org
The development of domain-specific languages (DSLs) is a laborious and iterative process
that seems to naturally lean to the use of generative artificial intelligence. We design and …

Teaching Model-Driven Low-Code Development Platforms

J Charles, J Michael, L Netz, B Rumpe - Proceedings of the ACM/IEEE …, 2024 - dl.acm.org
We present and evaluate a method called grammar masking, which is used to guide large
language models (LLMs) toward producing syntactically correct models for a given context …

Retrieval-Augmented Test Generation: How Far Are We?

J Shin, R Aleithan, H Hemmati, S Wang - arXiv preprint arXiv:2409.12682, 2024 - arxiv.org
Retrieval Augmented Generation (RAG) has shown notable advancements in software
engineering tasks. Despite its potential, RAG's application in unit test generation remains …

Navigating the Data Model Divide in Smart Manufacturing: An Empirical Investigation for Enhanced AI Integration

I Koren, M Jarke, J Michael, M Heithoff… - … Conference on Business …, 2024 - Springer
In engineering informatics, the myriad data types, formats, streaming and storage
technologies pose significant challenges in managing data effectively. The problem grows …

FinVerse: An Autonomous Agent System for Versatile Financial Analysis

S An, Q Li, J Lu, D Yin, X Sun - arXiv preprint arXiv:2406.06379, 2024 - arxiv.org
With the significant advancements in cognitive intelligence driven by LLMs, autonomous
agent systems have attracted extensive attention. Despite this growing interest, the …

[PDF][PDF] Applied Model-Based Co-Development for Zero-Emission Flight Systems Based on SysML

H Kausch, K Koppes, L Netz, P O'Brien, M Pfeiffer… - 2024 - dglr.de
In context of the BMWK LuFo Project" APPLIED MODEL-BASED CO-DEVELOPMENT FOR
ZEROEMISSION FLIGHT SYSTEMS", a model-based methodology applied in avionics is …

DSLXpert: LLM-driven Generic DSL Code Generation

D García-González, V Lamas… - MODELS Companion' …, 2024 - ruc.udc.es
Nowadays, large language models (LLMs) are an extremely useful and fast tool to
complement and help in many jobs and current problems. However, there are cases where …