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Foundations of Language Modeling
In this chapter, we first introduce the required background knowledge about computational language models. We describe the fundamental methodological...
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Process Modeling with Large Language Models
In the realm of Business Process Management (BPM), process modeling plays a crucial role in translating complex process dynamics into comprehensible...
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Multiplicative Models for Recurrent Language Modeling
Recently, there has been interest in multiplicative recurrent neural networks for language modeling. Indeed, simple Recurrent Neural Networks (RNNs)...
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Integrated Timed Architectural Modeling/Execution Language
We discuss an integrated approach for the design, specification, automatic deployment and simulation of microservice-based applications based on the...
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Adaptation of Enterprise Modeling Methods for Large Language Models
Large language models (LLM) are considered by many researchers as promising technology for automating routine tasks. Results from applying LLM in...
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Generative AI and Large Language Modeling in Cybersecurity
Cybersecurity is encountering new challenges demanding innovative solutions due to the complexity and frequency of cyberattacks progressing....
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Towards Enabling Domain-Specific Modeling Language Exchange Between Modeling Tools
Domain-specific modeling languages (DSMLs) enable various stakeholders in solving complex modeling problems that are related to their domains....
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A Quantum Software Modeling Language
This chapter discusses a series of fundamental principles for quantum software modeling languages. These principles are then exemplified in the...
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PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Large language models (LLMs) successfully model natural language from vast amounts of text without the need for explicit supervision. In this paper,...
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Towards Taming Large Language Models with Prompt Templates for Legal GRL Modeling
The Legal Goal-oriented Requirements Language (Legal GRL) is a promising conceptual modeling approach for supporting regulatory compliance analysis....
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A Graph Language Modeling Framework for the Ontological Enrichment of Conceptual Models
Conceptual models (CMs) offer a structured way to organize and communicate information in information systems. However, current models lack adequate...
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Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation
The dominating approach for modeling sequences (e.g. text, music) with deep learning is the causal approach, which consists in learning to predict...
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Modeling source code in bimodal for program comprehension
Source code is an intermediary through which humans communicate with computer systems. It contains a large amount of domain knowledge which can be...
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Transitioning towards SysML v2 as a variability modeling language
Systems engineers seek ways to reuse system models to accelerate the initial design development process on new complex projects. Despite its promise,...
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Empirically evaluating modeling language ontologies: the Peira framework
Conceptual modeling plays a central role in planning, designing, develo** and maintaining software-intensive systems. One of the goals of...
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Diversity and language technology: how language modeling bias causes epistemic injustice
It is well known that AI-based language technology—large language models, machine translation systems, multilingual dictionaries, and corpora—is...
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Temporal Modeling Approach for Video Action Recognition Based on Vision-language Models
The usage of large-scale vision-language pre-training models plays an important role in reducing computational consumption and improving the accuracy...
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Lgvc: language-guided visual context modeling for 3D visual grounding
3D visual grounding is crucial for understanding cross-modal scenes, linking visual objects to their corresponding language descriptions. Traditional...
