4 papers
AI-Based Thesis Assessment: An Empirical Study of Human Evaluation Priorities and Their Impact on Automated Assessment
Garv Vikram Gursahaney, Baskhad Idrisov, Thorsten Fröhlich +1
Rubric-based AI systems for thesis assessment use criterion weights to assign different levels of importance to evaluation criteria. These weights are typically defined through exp…
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…
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…
LSH methods for data deduplication in a Wikipedia artificial dataset
Juan Ciro, Daniel Galvez, Tim Schlippe +1
This paper illustrates locality sensitive hasing (LSH) models for the identification and removal of nearly redundant data in a text dataset. To evaluate the different models, we cr…