6 citations · 8 across the 7 of their papers we have counts for
7 papers
Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs
Indira Sen, Marlene Lutz, Elisa Rogers +2
Many applications of Large Language Models (LLMs) require them to either simulate people or offer personalized functionality, making the demographic representativeness of LLMs cruc…
Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
Jana Jung, Marlene Lutz, Indira Sen +1
Psychometric tests are increasingly used to assess psychological constructs in large language models (LLMs). However, it remains unclear whether these tests -- originally developed…
The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
Marlene Lutz, Indira Sen, Georg Ahnert +2
Persona prompting is increasingly used in large language models (LLMs) to simulate views of various sociodemographic groups. However, how a persona prompt is formulated can signifi…
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…
Local Contrastive Editing of Gender Stereotypes
Marlene Lutz, Rochelle Choenni, Markus Strohmaier +1
Stereotypical bias encoded in language models (LMs) poses a threat to safe language technology, yet our understanding of how bias manifests in the parameters of LMs remains incompl…
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
Jan Engler, Sandipan Sikdar, Marlene Lutz +1
Adding interpretability to word embeddings represents an area of active research in text representation. Recent work has explored thepotential of embedding words via so-called pola…
Properties of Group Fairness Metrics for Rankings
Tobias Schumacher, Marlene Lutz, Sandipan Sikdar +1
In recent years, several metrics have been developed for evaluating group fairness of rankings. Given that these metrics were developed with different application contexts and rank…