3 papers
cs.LG2025
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.CL2024
Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases
Erik Weber, Jérôme Rutinowski, Niklas Jost +1
This work investigates the political biases and personality traits of ChatGPT, specifically comparing GPT-3.5 to GPT-4. In addition, the ability of the models to emulate political…
stat.ML2024
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction
Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang +1
The Random Forest (RF) algorithm can be applied to a broad spectrum of problems, including time series prediction. However, neither the classical IID (Independent and Identically d…