9 papers
Prompting Against Persona Drift: Comparing Intervention Timing and Content in LLM-Simulated Conversations
Nicolas Leins, Jennifer Haase, Varvara Geronimus +2
Simulating student personas with large language models (LLMs) enables scalable evaluation of educational systems. However, behavioral drift, a progressive decline in persona consis…
When Does LLM Orchestration Pay Off? A Controlled Evaluation of Accuracy, Cost, and Task Difficulty
Nicolas Leins, Nico Pelleriti, Jana Gonnermann-Müller +1
LLM orchestration is often assumed to improve reasoning by allocating additional inference-time computation, yet its gains may not justify its cost. Existing comparisons also frequ…
Simulating Eating Disorder Patients with LLMs: Evaluating Psychological Persona Stability in Multi-Turn Conversations
Jennifer Haase, Jana Gonnermann-Müller, See Heng Yim +3
Large language model (LLM)-based simulations of clinical patients are increasingly used for research and training, yet their validity requires persona stability: coherent maintenan…
LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2
Large language model (LLM)-based student simulation offers a scalable alternative for educational research, teacher training, and learner practice. However, its validity depends on…
Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Training
Nicolas Leins, Jana Gonnermann-Müller, Malte Teichmann +1
Augmented Reality (AR) offers powerful visualization capabilities for industrial robot training, yet current interfaces remain predominantly static, failing to account for learners…
Robot Programming with Augmented Reality: The Role of Spatial Ability
Nicolas Leins, Jana Gonnermann-Müller, Muriel Fischer +2
Programming a robot arm requires users to interpret coordinate frames, joint rotations, and trajectories that are not directly visible. Augmented reality (AR) can make these spatia…
Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks
Jennifer Haase, Jana Gonnermann-Müller, Paul H. P. Hanel +4
How much of LLM output variance is explained by prompts versus model choice versus stochasticity through sampling? We answer this by evaluating 12 LLMs on 10 creativity prompts wit…
Stable Personas: Dual-Assessment of Temporal Stability in LLM-Based Human Simulation
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2
Large Language Models (LLMs) acting as artificial agents offer the potential for scalable behavioral research, yet their validity depends on whether LLMs can maintain stable person…
FACET: Multi-Agent AI Supporting Teachers in Scaling Differentiated Learning for Diverse Students
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +3
Classrooms are becoming increasingly heterogeneous, comprising learners with diverse performance and motivation levels, language proficiencies, and learning differences such as dys…