Frauke Kreuter
Orcid: 0000-0002-7339-2645Affiliations:
- University of Maryland, VA, USA
- LMU Munich, Germany
According to our database1,
Frauke Kreuter authored at least 54 papers
between 2015 and 2026.
Collaborative distances:
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on id.loc.gov
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Bibliography
2026
How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness.
CoRR, May, 2026
Correction to: Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale.
AI Soc., May, 2026
Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale.
AI Soc., May, 2026
CoRR, April, 2026
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting.
CoRR, February, 2026
Physiological and Behavioral Modeling of Stress and Cognitive Load in Web-Based Question Answering.
CoRR, January, 2026
Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs.
CoRR, January, 2026
Towards Understanding the Transferability of Adversarial Suffixes in Large Language Models.
Trans. Mach. Learn. Res., 2026
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
Sensing What Surveys Miss: Understanding and Personalizing Proactive LLM Support by User Modeling.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness.
CoRR, October, 2025
Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models.
CoRR, October, 2025
CoRR, September, 2025
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment.
CoRR, July, 2025
Nat. Comput. Sci., May, 2025
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction.
CoRR, February, 2025
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR).
CoRR, January, 2025
Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication.
Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Interactions, February, 2024
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Gov. Inf. Q., 2024
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models.
CoRR, 2024
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models.
CoRR, 2024
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Die Vermittlung von Best Practices zur Messung von Datenqualität in den quantitativen Sozialwissenschaften.
Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector.
CoRR, 2023
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Social impacts of algorithmic decision-making: A research agenda for the social sciences.
Big Data Soc., January, 2022
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making.
Patterns, 2022
Proceedings of the HCI International 2022 - Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence, 2022
2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
CoRR, 2021
2020
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features.
CoRR, 2020
2019
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019
2015