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ORCIDFrauke Kreuter
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- affiliation: University of Maryland, VA, USA
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2020 – today
- 2024
[j6]Unai Fischer Abaigar, Christoph Kern, Noam Barda, Frauke Kreuter:
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector. Gov. Inf. Q. 41(4): 101976 (2024)- [j5]Albrecht Schmidt, Passant Elagroudy, Fiona Draxler, Frauke Kreuter, Robin Welsch:
Simulating the Human in HCD with ChatGPT: Redesigning Interaction Design with AI. Interactions 31(1): 24-31 (2024) - [j4]Madiha Zahrah Choksi, Ero Balso, Frauke Kreuter, Helen Nissenbaum:
Privacy for Groups Online: Context Matters. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-23 (2024) - [c10]Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank:
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. ACL (Findings) 2024: 7407-7416 - [c9]Christopher Weiss, Frauke Kreuter, Ivan Habernal:
To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems? LREC/COLING 2024: 16331-16342 - [c8]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL (1) 2024: 2685-2702 - [c7]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. EMNLP (Findings) 2024: 8783-8805 - [c6]Julian Dehne, Jessica Daikeler, Henning Silber, Beatrice Rammstedt, Florian Keusch, Frauke Kreuter, Johannes Blumenberg, Clemens Lechner, Lena Römer, David Schoch, Pascal Siegers, Stefan Jünger, Katrin Weller:
Die Vermittlung von Best Practices zur Messung von Datenqualität in den quantitativen Sozialwissenschaften. INFORMATIK 2024: 2223-2235 - [c5]Stephanie Eckman, Barbara Plank, Frauke Kreuter:
Position: Insights from Survey Methodology can Improve Training Data. ICML 2024 - [i17]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. CoRR abs/2401.16589 (2024) - [i16]Xinpeng Wang, Bolei Ma, Chengzhi Hu, Leon Weber-Genzel, Paul Röttger, Frauke Kreuter, Dirk Hovy, Barbara Plank:
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. CoRR abs/2402.14499 (2024) - [i15]Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. CoRR abs/2402.18397 (2024) - [i14]Stephanie Eckman, Barbara Plank, Frauke Kreuter:
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models. CoRR abs/2403.01208 (2024) - [i13]Sarah Ball, Frauke Kreuter, Nina Rimsky:
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models. CoRR abs/2406.09289 (2024) - [i12]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - [i11]Unai Fischer Abaigar, Christoph Kern, Frauke Kreuter:
The Missing Link: Allocation Performance in Causal Machine Learning. CoRR abs/2407.10779 (2024) - [i10]Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze:
Problem Solving Through Human-AI Preference-Based Cooperation. CoRR abs/2408.07461 (2024) - [i9]Alexander Wuttke, Matthias Aßenmacher, Christopher Klamm, Max M. Lang, Quirin Würschinger, Frauke Kreuter:
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers. CoRR abs/2410.01824 (2024) - 2023
- [c4]Christoph Kern
, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) 2023: 14874-14886 - [c3]Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter:
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. EWAF 2023 - [i8]Anna-Carolina Haensch, Sarah Ball, Markus Herklotz, Frauke Kreuter:
Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data. CoRR abs/2303.05349 (2023) - [i7]Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann:
Sources of Uncertainty in Machine Learning - A Statisticians' View. CoRR abs/2305.16703 (2023) - [i6]Christopher Weiss, Frauke Kreuter, Ivan Habernal:
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems? CoRR abs/2307.06708 (2023) - [i5]Unai Fischer Abaigar, Christoph Kern, Noam Barda, Frauke Kreuter:
Bridging the Gap: Towards an Expanded Toolkit for ML-Supported Decision-Making in the Public Sector. CoRR abs/2310.19091 (2023) - [i4]Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR abs/2311.14212 (2023) - 2022
- [j3]Frederic Gerdon, Ruben L. Bach, Christoph Kern, Frauke Kreuter:
Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data Soc. 9(1): 205395172210893 (2022) - [j2]Christoph Kern, Frederic Gerdon, Ruben L. Bach, Florian Keusch, Frauke Kreuter:
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. Patterns 3(10): 100591 (2022) - [c2]Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter:
Improving Labeling Through Social Science Insights: Results and Research Agenda. HCI (43) 2022: 245-261 - 2021
- [i3]Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter:
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? CoRR abs/2105.01441 (2021) - [i2]Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter:
Fairness in Algorithmic Profiling: A German Case Study. CoRR abs/2108.04134 (2021) - 2020
- [i1]Amanda Fernández-Fontelo, Pascal J. Kieslich, Felix Henninger, Frauke Kreuter, Sonja Greven:
Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features. CoRR abs/2011.06916 (2020)
2010 – 2019
- 2019
- [c1]Frauke Kreuter:
The Social Science of Privacy - Effects on Industry and Government Data Use. WWW (Companion Volume) 2019: 483 - 2015
- [j1]Richard Valliant, Jill A. Dever, Frauke Kreuter:
PracTools: Computations for Design of Finite Population Samples. R J. 7(2): 163 (2015)
Coauthor Index
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last updated on 2024-11-22 20:42 CET by the dblp team
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