Towards Migrating Neural Network Implementations
A model-driven approach to automatically migrate neural network code across deep learning frameworks.
Vibe-driven model-based engineering: when low-code and AI had a son
We discuss different ways to combine the benefits of deterministic low-code development with the flexibility of AI and vibe coding
Ask Safely! How to Query LLMs Without Leaking Your KG Private Data
We present a privacy-aware query generation approach that identifies sensitive information in the knowledge graph and masks it before sending anything to the LLM. Our experiments indicate that this preserves query quality while preventing sensitive data from leaving your system.
Modeling Human-Agent Collaborative Workflows: Extending BPMN
With this bpmn extension you can model how humans and agents (and also agent communities) should collaborate to accomplish a given task
Beyond Vibe Coding: Welcome to Vibe Modeling
Vibe modeling combines the benefits of vibe coding and AI with a deterministic code generation for more quality software
Evaluating Representational Harms in Text-to-Image Models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
The low-code handbook
Modeling: all you need to know
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