Author

Julian Roßkothen

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#small language model Book Oct 2026

Evaluating Embedding Models and Preprocessing for Retrieval of MDE Elements in RAG Systems

In an evaluation on two PREEvision Electric/Electronic-architecture models using automatically derived questions, it is found that text embedding models are capable of capturing the semantics of model elements, however, they often only find anchor points in the model and struggle to retrieve all relevant model elements...

Julian Roßkothen, David Inca Pilco, Tobias Hey et al. · 0 citations

#small language model Book Open access Oct 2026

AMIGO: Agentic Model Instance Generation

Generating metamodel-conforming instance models is a recurring task in Model-Driven Engineering (MDE), yet it remains tedious and tool-bound: instances are serialized as verbose, deeply nested XMI that today’s large language models (LLMs) cannot reliably produce or edit. We present AMIGO, a general, harness-agnostic ar...

Maximilian Hummel, Julian Roßkothen, Nathan Hagel et al. · 0 citations

Conference Open access Aug 2026

On Converting Natural Language Requirements into Semi-Formal Templates Using LLMs

Context and Motivation] Semi-formal syntax templates for natural language requirements positively impact various requirements metrics, such as singularity. Using templates such as MASTeR or EARS also improves understandability. Requirements that conform to templates are easier for humans to understand than unrestricted...

Julian Roßkothen, Dominik Fuchß, Florian Erdösi et al. · IEEE International Requireme... · 1 citation