1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Evaluating Token Probabilities as Confidence Estimators in Human Behavior Simulations: A Case Study in Luxembourgish Next Like Prediction
Nils Schwager, Simon Münker, Alistair Plum +1
As large language models (LLMs) are increasingly used to simulate human behavior, their operational validity is typically assessed through accuracy alone, implicitly treating human…
cs.CL2024
Political Bias in LLMs: Unaligned Moral Values in Agent-centric Simulations
Simon Münker
Contemporary research in social sciences increasingly utilizes state-of-the-art generative language models to annotate or generate content. While these models achieve benchmark-lea…
cs.CL2024★ 1 cited
Zero-shot prompt-based classification: topic labeling in times of foundation models in German Tweets
Simon Münker, Kai Kugler, Achim Rettinger
Filtering and annotating textual data are routine tasks in many areas, like social media or news analytics. Automating these tasks allows to scale the analyses wrt. speed and bread…