Frauke Kreuter

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Top Venues

Publications

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)
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 (2024)
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 (2024)
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)
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) (2024)
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 (2024)
Sarah Ball, Frauke Kreuter, Nina Rimsky
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models. CoRR (2024)
Unai Fischer Abaigar, Christoph Kern, Frauke Kreuter
The Missing Link: Allocation Performance in Causal Machine Learning. CoRR (2024)
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 (2024)
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)
Stephanie Eckman, Barbara Plank, Frauke Kreuter
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models. CoRR (2024)
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 (2023)
Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann
Sources of Uncertainty in Machine Learning - A Statisticians' View. CoRR (2023)
Anna-Carolina Haensch, Sarah Ball, Markus Herklotz, Frauke Kreuter
Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data. CoRR (2023)
Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes. EWAF (2023)
Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) (2023)
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 (2023)
Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR (2023)
Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter
Improving Labeling Through Social Science Insights: Results and Research Agenda. HCI (43) (2022)
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) (2022)
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) (2022)
Matthias Kuppler, Christoph Kern, Ruben L. Bach, Frauke Kreuter
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? CoRR (2021)
Christoph Kern, Ruben L. Bach, Hannah Mautner, Frauke Kreuter
Fairness in Algorithmic Profiling: A German Case Study. CoRR (2021)
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 (2020)
Frauke Kreuter
The Social Science of Privacy - Effects on Industry and Government Data Use. WWW (Companion Volume) (2019)
Richard Valliant, Jill A. Dever, Frauke Kreuter
PracTools: Computations for Design of Finite Population Samples. R J. 7 (2) (2015)