Frauke Kreuter

Orcid: 0000-0002-7339-2645

Affiliations:
  • University of Maryland, VA, USA


According to our database1, Frauke Kreuter authored at least 27 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Simulating the Human in HCD with ChatGPT: Redesigning Interaction Design with AI.
Interactions, February, 2024

Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Gov. Inf. Q., 2024

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
CoRR, 2024

Problem Solving Through Human-AI Preference-Based Cooperation.
CoRR, 2024

The Missing Link: Allocation Performance in Causal Machine Learning.
CoRR, 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

Position: Insights from Survey Methodology can Improve Training Data.
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

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
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

Sources of Uncertainty in Machine Learning - A Statisticians' View.
CoRR, 2023

Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data.
CoRR, 2023

When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance.
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

Improving Labeling Through Social Science Insights: Results and Research Agenda.
Proceedings of the HCI International 2022 - Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence, 2022

2021
Fairness in Algorithmic Profiling: A German Case Study.
CoRR, 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
The Social Science of Privacy - Effects on Industry and Government Data Use.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2015
PracTools: Computations for Design of Finite Population Samples.
R J., 2015


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