collaborators

8 papers

cs.AI2026

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…

cs.HC2026

LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles

Jana Gonnermann-Müller, Jana Gonnermann-Müller, Jennifer Haase +3

Student simulation with Large language models (LLMs) offers a scalable alternative for educational research and teacher training. Yet, its validity depends on whether models mainta…

cs.HC2026

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…

cs.HC2026

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…

cs.CY2026

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…

cs.RO2026

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…