PracTools: Computations for Design of Finite Population Samples. - Richard Valliant; Jill A. Dever; Frauke Kreuter (R J., 2015)

The Social Science of Privacy - Effects on Industry and Government Data Use. - Frauke Kreuter (WWW (Companion Volume), 2019)

Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features. - Amanda Fernández-Fontelo; Pascal J. Kieslich; Felix Henninger; Frauke Kreuter; Sonja Greven (CoRR, 2020)

Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? - Matthias Kuppler; Christoph Kern 001; Ruben L. Bach; Frauke Kreuter (CoRR, 2021)

Fairness in Algorithmic Profiling: A German Case Study. - Christoph Kern 001; Ruben L. Bach; Hannah Mautner; Frauke Kreuter (CoRR, 2021)

Improving Labeling Through Social Science Insights: Results and Research Agenda. - Jacob Beck; Stephanie Eckman; Robert F. Chew; Frauke Kreuter (HCI (43), 2022)

Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. - Christoph Kern 001; Frederic Gerdon; Ruben L. Bach; Florian Keusch; Frauke Kreuter (Patterns, 2022)

Social impacts of algorithmic decision-making: A research agenda for the social sciences. - Frederic Gerdon; Ruben L. Bach; Christoph Kern 001; Frauke Kreuter (Big Data Soc., 2022)

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. - Christoph Kern 001; Stephanie Eckman; Jacob Beck; Rob Chew 001; Bolei Ma; Frauke Kreuter (EMNLP (Findings), 2023)

When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. - Christoph Kern 001; Ruben L. Bach; Hannah Mautner; Frauke Kreuter (EWAF, 2023)

On the Challenges and Practices of Reinforcement Learning from Real Human Feedback. - Timo Kaufmann; Sarah Ball; Jacob Beck; Eyke Hüllermeier; Frauke Kreuter (PKDD/ECML Workshops (2), 2023)

Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data. - Anna-Carolina Haensch; Sarah Ball; Markus Herklotz; Frauke Kreuter (CoRR, 2023)

Sources of Uncertainty in Machine Learning - A Statisticians' View. - Cornelia Gruber; Patrick Oliver Schenk; Malte Schierholz; Frauke Kreuter; Göran Kauermann (CoRR, 2023)

Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector. - Unai Fischer Abaigar; Christoph Kern 001; Noam Barda; Frauke Kreuter (CoRR, 2023)

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. - Xinpeng Wang 003; Bolei Ma; Chengzhi Hu; Leon Weber-Genzel; Paul Röttger; Frauke Kreuter; Dirk Hovy; Barbara Plank (ACL (Findings), 2024)

To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems? - Christopher Weiss; Frauke Kreuter; Ivan Habernal (LREC/COLING, 2024)

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. - Bolei Ma; Ercong Nie; Shuzhou Yuan; Helmut Schmid; Michael Färber 001; Frauke Kreuter; Hinrich Schütze (EACL (1), 2024)

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. - Bolei Ma; Xinpeng Wang 003; Tiancheng Hu; Anna-Carolina Haensch; Michael A. Hedderich; Barbara Plank; Frauke Kreuter (EMNLP (Findings), 2024)

Die Vermittlung von Best Practices zur Messung von Datenqualität in den quantitativen Sozialwissenschaften. - Julian Dehne; Jessica Daikeler; Henning Silber; Beatrice Rammstedt; Florian Keusch; Frauke Kreuter; Johannes Blumenberg; Clemens Lechner; Lena Römer; David Schoch; Pascal Siegers; Stefan Jünger; et al. (INFORMATIK, 2024)

Position: Insights from Survey Methodology can Improve Training Data. - Stephanie Eckman; Barbara Plank; Frauke Kreuter (ICML, 2024)

Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. - Ercong Nie; Shuzhou Yuan; Bolei Ma; Helmut Schmid; Michael Färber 001; Frauke Kreuter; Hinrich Schütze (CoRR, 2024)

The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models. - Stephanie Eckman; Barbara Plank; Frauke Kreuter (CoRR, 2024)

Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models. - Sarah Ball; Frauke Kreuter; Nina Rimsky (CoRR, 2024)

The Missing Link: Allocation Performance in Causal Machine Learning. - Unai Fischer Abaigar; Christoph Kern 001; Frauke Kreuter (CoRR, 2024)

Problem Solving Through Human-AI Preference-Based Cooperation. - Subhabrata Dutta; Timo Kaufmann; Goran Glavas; Ivan Habernal; Kristian Kersting; Frauke Kreuter; Mira Mezini; Iryna Gurevych; Eyke Hüllermeier; Hinrich Schütze (CoRR, 2024)

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers. - Alexander Wuttke; Matthias Aßenmacher; Christopher Klamm; Max M. Lang; Quirin Würschinger; Frauke Kreuter (CoRR, 2024)

Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector. - Unai Fischer Abaigar; Christoph Kern 001; Noam Barda; Frauke Kreuter (Gov. Inf. Q., 2024)

Privacy for Groups Online: Context Matters. - Madiha Zahrah Choksi; Ero Balso; Frauke Kreuter; Helen Nissenbaum (Proc. ACM Hum. Comput. Interact., 2024)

Simulating the Human in HCD with ChatGPT: Redesigning Interaction Design with AI. - Albrecht Schmidt 001; Passant Elagroudy; Fiona Draxler; Frauke Kreuter; Robin Welsch (Interactions, 2024)

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges. - Bolei Ma; Yuting Li; Wei Zhou; Ziwei Gong; Yang Janet Liu; Katja Jasinskaja; Annemarie Friedrich; Julia Hirschberg; Frauke Kreuter; Barbara Plank (ACL (1), 2025)

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study. - Bolei Ma; Berk Yoztyurk; Anna-Carolina Haensch; Xinpeng Wang 003; Markus Herklotz; Frauke Kreuter; Barbara Plank; Matthias Aßenmacher (ACL (1), 2025)

Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators. - Jacob Beck; Lukas Malte Kemeter; Konrad Dürrbeck; Mohamed Hesham Ibrahim Abdalla; Frauke Kreuter (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR). - Stephanie Eckman; Bolei Ma; Christoph Kern 001; Robert F. Chew; Barbara Plank; Frauke Kreuter (CoRR, 2025)

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction. - Sarah Ball; Simeon Allmendinger; Frauke Kreuter; Niklas Kühl 001 (CoRR, 2025)

Algorithms for reliable decision-making need causal reasoning. - Christoph Kern 001; Unai Fischer Abaigar; Jonas Schweisthal; Dennis Frauen; Rayid Ghani; Stefan Feuerriegel; Mihaela van der Schaar; Frauke Kreuter (Nat. Comput. Sci., 2025)

On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment. - Sarah Ball; Greg Gluch; Shafi Goldwasser; Frauke Kreuter; Omer Reingold; Guy N. Rothblum (CoRR, 2025)