Large Language Models (LLMs) are pre-trained on large-scale corpora and excel in
numerous general natural language processing (NLP) tasks, such as question answering …

Large Language Models (LLMs) have shown versatility in various Natural Language
Processing (NLP) tasks, including their potential as effective question-answering systems …

This study proposes a novel approach leveraging Large Language Models (LLMs) to
generate dynamic and complex adaptable cybersecu-rity exercise scenarios. Motivated by …

The adoption of digital pathology promises to revolutionize medical diagnostics by enabling
the computerized analysis of tissue images, particularly through the digitization of formalin …

The understanding of large-scale scientific software is a significant challenge due to its
diverse codebase, extensive code length, and target computing architectures. The …

This study investigates the effectiveness of Voice User Interfaces (VUIs) in supporting
mindfulness techniques for smoking cessation. We conducted a month-long between …

This paper examines the integration and comparative effectiveness of Retriever-Augmented
Generation (RAG), fine-tuning, and prompt engineering in the development of advanced …

Indoor navigation systems today are deployed as static devices and as mobile applications.
Promising virtual helpers based on artificial intelligence to assist users with various tasks, AI …

Zusammenfassung Conversational User Interfaces wie Chatbots bieten großes Potential,
Studierende ergänzend zu bestehenden Beratungsangeboten bei der …

In the realm of natural language processing (NLP), the quest for domain-specific question
answering has been a focal point, emphasizing the precise extraction of factual information …