2 papers
cs.CL2026
QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models
Maximilian Kreutner, Jens Rupprecht, Georg Ahnert +2
We introduce QSTN, an open-source Python framework for systematically generating responses from questionnaire-style prompts to support in-silico surveys and annotation tasks with l…
cs.CL2026
Persona-driven Simulation of Voting Behavior in the European Parliament with Large Language Models
Maximilian Kreutner, Marlene Lutz, Markus Strohmaier
Large Language Models (LLMs) display remarkable capabilities to understand or even produce political discourse but have been found to consistently exhibit a progressive left-leanin…