activity
20222025
most citedThe Self-Perception and Political Biases of ChatGPT

27 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MTevent: A Multi-Task Event Camera Dataset for 6D Pose Estimation and Moving Object Detection

Shrutarv Awasthi, Anas Gouda, Sven Franke +3

Mobile robots are reaching unprecedented speeds, with platforms like Unitree B2, and Fraunhofer O3dyn achieving maximum speeds between 5 and 10 m/s. However, effectively utilizing…

cs.LG2025★ 1 cited

A Cautionary Tale About "Neutrally" Informative AI Tools Ahead of the 2025 Federal Elections in Germany

Ina Dormuth, Sven Franke, Marlies Hafer +6

In this study, we examine the reliability of AI-based Voting Advice Applications (VAAs) and large language models (LLMs) in providing objective political information. Our analysis…

cs.CY2023★ 27 cited

The Self-Perception and Political Biases of ChatGPT

Jérôme Rutinowski, Sven Franke, Jan Endendyk +2

This contribution analyzes the self-perception and political biases of OpenAI's Large Language Model ChatGPT. Taking into account the first small-scale reports and studies that hav…

cs.CV2023★ 1 cited

Semi-Automated Computer Vision based Tracking of Multiple Industrial Entities -- A Framework and Dataset Creation Approach

Jérôme Rutinowski, Hazem Youssef, Sven Franke +4

This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, ba…

cs.LG2022★ 2 cited

Applications of human activity recognition in industrial processes -- Synergy of human and technology

Friedrich Niemann, Christopher Reining, Hülya Bas +1

Human-technology collaboration relies on verbal and non-verbal communication. Machines must be able to detect and understand the movements of humans to facilitate non-verbal commun…