22 citations · 23 across the 3 of their papers we have counts for
5 papers
A Dual-Process Perspective on Nudge Susceptibility in LLM-Based GUI Agents
Haya Halimeh, Sascha Kaltenpoth, Kevin Bösch +1
LLM-based GUI agents increasingly act on behalf of users in digital environments that were designed with human users in mind. These graphical user interfaces were designed to suppo…
TS-Arena -- A Live Forecast Pre-Registration Platform
Marcel Meyer, Sascha Kaltenpoth, Henrik Albers +2
Time Series Foundation Models (TSFMs) are transforming the field of forecasting. However, evaluating them on historical data is increasingly difficult due to the risks of train-tes…
Rethinking Evaluation in the Era of Time Series Foundation Models: (Un)known Information Leakage Challenges
Marcel Meyer, Sascha Kaltenpoth, Kevin Zalipski +1
Time Series Foundation Models (TSFMs) represent a new paradigm for time-series forecasting, promising zero-shot predictions without the need for task-specific training or fine-tuni…
Getting In Contract with Large Language Models -- An Agency Theory Perspective On Large Language Model Alignment
Sascha Kaltenpoth, Oliver Müller
Adopting Large language models (LLMs) in organizations potentially revolutionizes our lives and work. However, they can generate off-topic, discriminating, or harmful content. This…
Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting
Marcel Meyer, David Zapata, Sascha Kaltenpoth +1
Accurate household electricity short-term load forecasting (STLF) is key to future and sustainable energy systems. While various studies have analyzed statistical, machine learning…