Showing 2025 · cs.AIShow all
2 papers · 2 filters
cs.AI2025
Calibrated Trust in Dealing with LLM Hallucinations: A Qualitative Study
Adrian Ryser, Florian Allwein, Tim Schlippe
Hallucinations are outputs by Large Language Models (LLMs) that are factually incorrect yet appear plausible [1]. This paper investigates how such hallucinations influence users' t…
cs.AI2025
RubiSCoT: A Framework for AI-Supported Academic Assessment
Thorsten Fröhlich, Tim Schlippe
The evaluation of academic theses is a cornerstone of higher education, ensuring rigor and integrity. Traditional methods, though effective, are time-consuming and subject to evalu…