output
20042026
most citedThe MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

183 citations

54 papers

cs.CL2026

Evaluating Prompt Engineering Strategies for Sentiment Control in AI-Generated Texts

Kerstin Sahler, Sophie Jentzsch

The groundbreaking capabilities of Large Language Models (LLMs) offer new opportunities for enhancing human-computer interaction through emotion-adaptive Artificial Intelligence (A…

cs.AI2026

The Effectiveness of Style Vectors for Steering Large Language Models: A Human Evaluation

Diaoulé Diallo, Katharina Dworatzyk, Sophie Jentzsch +3

Controlling the behavior of large language models (LLMs) at inference time is essential for aligning outputs with human abilities and safety requirements. \emph{Activation steering…

cs.HC2025★ 13 cited

How LLMs are Shaping the Future of Virtual Reality

Süeda Özkaya, Santiago Berrezueta-Guzman, Stefan Wagner

The integration of Large Language Models (LLMs) into Virtual Reality (VR) games marks a paradigm shift in the design of immersive, adaptive, and intelligent digital experiences. Th…

cs.CV2025

MVTOP: Multi-View Transformer-based Object Pose-Estimation

Lukas Ranftl, Felix Brendel, Bertram Drost +1

We present MVTOP, a novel transformer-based method for multi-view rigid object pose estimation. Through an early fusion of the view-specific features, our method can resolve pose a…

cs.SE2025★ 3 cited

Automated Testing of the GUI of a Real-Life Engineering Software using Large Language Models

Tim Rosenbach, David Heidrich, Alexander Weinert

One important step in software development is testing the finished product with actual users. These tests aim, among other goals, at determining unintuitive behavior of the softwar…

quant-ph2025

Exploring Variational Entanglement Hamiltonians

Yanick S. Kind, Benedikt Fauseweh

Recent advances in analog and digital quantum-simulation platforms have enabled exploration of the spectrum of entanglement Hamiltonians via variational algorithms. In this work we…