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Research Group Frauke Kreuter


Link to website at LMU PI Matchmaking

Frauke Kreuter

Prof. Dr.

Principal Investigator

Frauke Kreuter

holds the Chair of Statistics and Data Science at LMU Munich.

Her reserach is interested in all matters of social data science, ranging from fairness in automated decision-making to the use of new data sources in the social sciences, multiple imputation methods, survey methodology, social NLP, and statistical training.

Team members @MCML

PostDocs

Link to website

Florian Bemmann

Dr.

Link to website

Anna-Carolina Haensch

Dr.

Link to website

Malte Schierholz

Dr.

PhD Students

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Sarah Ball

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Jacob Beck

Link to website

Lisa Bondo Andersen

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Unai Fischer Abaigar

Link to website

Tobias Holtdirk

Link to website

Leonhard Kestel

Link to website

Olga Kononykhina

Link to website

Ailin Liu

Link to website

Bolei Ma

Link to website

Marcus Novotny

Link to website

Patrick Schenk

Link to website

Jan Simson

Link to website

Anna Steinberg

Link to website

Leah von der Heyde

Recent News @MCML

Link to Digdeep Podcast: Live From HerCareer With Anne Greul: How to Successfully Pivot a Startup.

24.10.2025

Digdeep Podcast: Live From HerCareer With Anne Greul: How to Successfully Pivot a Startup.

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

Link to Digdeep Podcast: How Do We Get Germany on Track Digitally, Cihan Sügür?

10.10.2025

Digdeep Podcast: How Do We Get Germany on Track Digitally, Cihan Sügür?

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

Link to Digdeep Podcast: IAA in Munich – Will the Automotive Industry Turn Things Around?

19.09.2025

Digdeep Podcast: IAA in Munich – Will the Automotive Industry Turn Things Around?

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

Link to Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske

14.08.2025

Digdeep Podcast: From University to CEO and Back – Entrepreneurship at LMU With Philipp Baaske

News From the Digital World by MCML PI Frauke Kreuter and Christof Horn

Publications @MCML

2025


[62] A* Conference
C. Wu • B. MaY. Liu • Z. Zhang • N. Deng • Y. Li • B. Chen • Y. Zhang • Y. Xue • B. Plank
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[61]
C. Wu • Y. Cai • Y. Liu • P. Zhu • Y. Xue • Z. Gong • J. Hirschberg • B. Ma
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[60]
S. Eckman • B. MaC. Kern • R. Chew • B. PlankF. Kreuter
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication.
NLPerspectives @EMNLP 2025 - 4th Workshop on Perspectivist Approaches to NLP at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. To be published. Preprint available. arXiv

[59]
J. Kappenberger • C. Strasser Ceballos • F. Gerdon • D. Szafran • F. Rupp • K. Eckert • H. Stuckenschmidt • R. Bach • F. KreuterC. Kern
Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany.
AIES 2025 - AAAI/ACM Conference on AI, Ethics, and Society. Madrid, Spain, Oct 20-25, 2025. DOI

[58]
L. von der Heyde
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL

[57]
L. von der Heyde
Who Counts? The Potentials and Pitfalls of Using LLMs in Survey Research.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL GitHub

[56]
S. Ball • A. Haupt
Don't Walk the Line: Boundary Guidance for Filtered Generation.
Preprint (Oct. 2025). arXiv

[55]
C. Hobelsberger • T. Winner • A. Nawroth • O. Mitevski • A.-C. Haensch
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models.
Preprint (Oct. 2025). arXiv

[54]
B. Ma • Y. Cao • I. Sen • A.-C. HaenschF. KreuterB. Plank • D. Hershcovich
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation.
Preprint (Oct. 2025). arXiv


[52]

[51] Top Journal
S. Dutta • T. Kaufmann • G. Glavaš • I. Habernal • K. Kersting • F. Kreuter • M. Mezini • I. Gurevych • E. HüllermeierH. Schütze
Problem Solving Through Human-AI Preference-Based Cooperation.
Computational Linguistics. Sep. 2025. DOI

[50]
F. Kreuter
Modernizing Data Collection.
Journal of Official Statistics 41.3. Sep. 2025. DOI

[49]
J. Beck • S. Eckman • C. KernF. Kreuter
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions.
Preprint (Sep. 2025). arXiv

[48]
L. von der HeydeA.-C. Haensch • B. Weiß • J. Daikeler
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
JSM 2025 - Joint Statistical Meetings. Nashville, TN, USA, Aug 02-07, 2025. To be published. Preprint available. arXiv

[47] Top Journal
J. BeckA. Steinberg • A. Dimmelmeier • L. D. Burin • E. Kormanyos • M. Fehr • M. Schierholz
Addressing data gaps in sustainability reporting: A benchmark dataset for greenhouse gas emission extraction.
Scientific Data 12.1497. Aug. 2025. DOI

[46] A* Conference
B. Ma • Y. Li • W. Zhou • Z. Gong • Y. J. Liu • K. Jasinskaja • A. Friedrich • J. Hirschberg • F. KreuterB. Plank
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[45] A* Conference
B. Ma • B. Yoztyurk • A.-C. HaenschX. Wang • M. Herklotz • F. KreuterB. PlankM. Aßenmacher
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[44]
O. KononykhinaA.-C. HaenschF. Kreuter
Mind the Gap: Gender-based Differences in Occupational Embeddings.
GeBNLP @ACL 2025 - 6th Workshop on Gender Bias in Natural Language Processing at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. URL

[43]
O. KononykhinaM. Schierholz
Can Large Language Models Advance Occupational Coding? Evidence and Methodological Insights.
ESRA 2025 - 11th Conference of the European Survey Research Association. Utrecht, The Netherlands, Jul 14-18, 2025. To be published.

[42] A* Conference
F. Kreuter
Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Invited Talk. URL

[41]
M. Novotny • W. Weber • C. KernF. Kreuter
Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale.
AI and Society. Jul. 2025. DOI

[40]
U. Fischer AbaigarC. KernF. Kreuter
Adjusting survey estimates with multi-accuracy post-processing.
ITACOSM 2025 - Italian Conference on Survey Methodology. Bologna, Italy, Jul 01-04, 2025. Invited talk. PDF

[39]
S. Ball • G. Gluch • S. Goldwasser • F. Kreuter • O. Reingold • G. N. Rothblum
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment.
Preprint (Jul. 2025). arXiv

[38]
P. O. SchenkC. Kern • T. D. Buskirk
Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[37]
S. Yuan • E. NieB. Ma • M. Färber
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
IJCNN 2025 - International Joint Conference on Neural Networks. Rome, Italy, Jun 30-Jul 05, 2025. To be published. Preprint available. arXiv

[36]
C. Wu • B. MaZ. Zhang • N. Deng • Y. He • Y. Xue
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
International Journal of Machine Learning and Cybernetics. Jun. 2025. DOI

[35]
O. Kononykhina
How ML-Filtered Answer Options Shape Responses and Interactions in CATI Surveys.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. URL

[34]
S. Ball • S. Allmendinger • F. Kreuter • N. Kühl
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. To be published. Preprint available. arXiv

[33]
C. Kern • U. Fischer-Abaigar • J. SchweisthalD. Frauen • R. Ghani • S. Feuerriegel • M. van der Schaar • F. Kreuter
Algorithms for reliable decision-making need causal reasoning.
Nature Computational Science 5. May. 2025. DOI

[32]
A. Karamolegkou • A. Borah • E. Cho • S. R. Choudhury • M. Galletti • R. Ghosh • P. Gupta • O. Ignat • P. Kargupta • N. Kotonya • H. Lamba • S.-J. Lee • A. Mangla • I. Mondal • D. Nazarova • P. Nemkova • D. Pisarevskaya • N. Rizwan • N. Sabri • D. Stammbach • A. Steinberg • D. Tomás • S. R. Wilson • B. Yi • J. H. Zhu • A. Zubiaga • A. Søgaard • A. Fraser • Z. Jin • R. Mihalcea • J. R. Tetreault • D. Dementieva
NLP for Social Good: A Survey of Challenges, Opportunities, and Responsible Deployment.
Preprint (May. 2025). arXiv

[31]
I. Sen • B. Ma • G. Ahnert • A.-C. HaenschT. HoltdirkF. Kreuter • M. Strohmaier
Connecting Natural Language Processing and Survey Methodology: Potentials, Challenges, and Open Questions.
Preprint (May. 2025). DOI

[30]
B. Ma • C. A. Huang • A.-C. Haensch
Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes.
SRW @NAACL 2025 - Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. URL

[29] Top Journal
L. von der HeydeA.-C. Haensch • A. Wenz
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion.
Social Science Computer Review Online First. Apr. 2025. DOI

[28]
A. Wuttke • M. Aßenmacher • C. Klamm • M. Lang • Q. Würschinger • F. Kreuter
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
Preprint (Mar. 2025). arXiv

[27]
C. Wu • B. Ma • N. Deng • Y. He • Y. Xue
Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.
Preprint (Feb. 2025). arXiv

[26] Top Journal
J. Beck • L. M. Kemeter • K. Dürrbeck • M. H. I. Abdalla • F. Kreuter
Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Jan. 2025. DOI

[25]
O. KononykhinaM. SchierholzF. Kreuter
The Impact of Question Framing on the Precision of Automatic Occupation Coding.
Preprint (Jan. 2025). arXiv

2024


[24]
U. Fischer AbaigarC. Kern • N. Barda • F. Kreuter
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Government Information Quarterly 41.4. Dec. 2024. DOI

[23]
B. MaX. Wang • T. Hu • A.-C. HaenschM. A. HedderichB. PlankF. Kreuter
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[22]
C. Kern • R. Bach • H. Mautner • F. Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
ACM Journal on Responsible Computing. Nov. 2024. DOI

[21]
X. Wang • C. Hu • B. Ma • P. Rottger • B. Plank
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
COLM 2024 - Conference on Language Modeling. Philadelphia, PA, USA, Oct 07-09, 2024. PDF

[20]
P. O. SchenkC. Kern
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production.
AStA Wirtschafts- und Sozialstatistisches Archiv 18. Oct. 2024. DOI

[19]
L. von der HeydeA.-C. Haensch • A. Wenz • B. Ma
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections.
Preprint (Sep. 2024). arXiv

[18]
B. Ma
Evaluating Lexical Aspect with Large Language Models.
CMCL @ACL 2024 - Workshop on Cognitive Modeling and Computational Linguistics at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[17]
A. Dimmelmeier • H. Doll • M. Schierholz • E. Kormanyos • M. Fehr • B. MaJ. BeckA. FraserF. Kreuter
Informing climate risk analysis using textual information - A research agenda.
ClimateNLP @ACL 2024 - 1st Workshop on Natural Language Processing Meets Climate Change at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[16]
X. WangB. Ma • C. Hu • L. Weber-Genzel • P. Röttger • F. Kreuter • D. Hovy • B. Plank
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[15] A* Conference
S. Eckman • B. PlankF. Kreuter
Position: Insights from Survey Methodology can Improve Training Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[14]
U. Fischer AbaigarC. KernF. Kreuter
The Missing Link: Allocation Performance in Causal Machine Learning.
Workshop Humans, Algorithmic Decision-Making and Society @ICML 2024 - Workshop Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv URL

[13]
P. Resnik • B. Ma • A. Hoyle • P. Goel • R. Sarkar • M. Gearing • A.-C. HaenschF. Kreuter
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
NLP+CSS @NAACL 2024 - 6th Workshop on Natural Language Processing and Computational Social Science at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

[12]
S. BallF. Kreuter • N. Panickssery
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models.
Preprint (Jun. 2024). arXiv

[11] A Conference
B. MaE. Nie • S. Yuan • H. Schmid • M. Färber • F. KreuterH. Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[10]
J. Beck • S. Eckman • B. Ma • R. Chew • F. Kreuter
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
UncertaiNLP @EACL 2024 - 1st Workshop on Uncertainty-Aware NLP at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

[9]
E. Nie • S. Yuan • B. Ma • H. Schmid • M. Färber • F. KreuterH. Schütze
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
Preprint (Feb. 2024). arXiv

2023


[8]
Z. Zhang • H. Yang • B. MaD. RügamerE. Nie
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge @CoNLL 2023) - BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore, Dec 06-10, 2023. DOI GitHub

[7]
I. Ziegler • B. MaB. BischlE. Dorigatti • B. Schubert
Proteasomal cleavage prediction: state-of-the-art and future directions.
Preprint (Oct. 2023). DOI GitHub

[6]
T. KaufmannS. BallJ. BeckE. HüllermeierF. Kreuter
On the challenges and practices of reinforcement learning from real human feedback.
HLDM @ECML-PKDD 2023 - 1st Workshop on Hybrid Human-Machine Learning and Decision Making at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

[5]
B. MaE. Nie • H. Schmid • H. Schütze
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding.
KONVENS 2023 - 19th Conference on Natural Language Processing. Ingolstadt, Germany, Sep 18-22, 2023. URL

[4]
M. Trappmann • G.-C. Haas • S. Malich • F. Keusch • S. Bähr • F. Kreuter • S. Schwarz
Augmenting survey data with digital trace data: Is there a threat to panel retention?
Journal of Survey Statistics and Methodology 11.3. Jun. 2023. DOI

2022


[3]
I. Ziegler • B. MaE. NieB. BischlD. Rügamer • B. Schubert • E. Dorigatti
What cleaves? Is proteasomal cleavage prediction reaching a ceiling?
LMRL @NeurIPS 2022 - Workshop on Learning Meaningful Representations of Life at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

[2] Top Journal
K. E. Riehm • E. Badillo Goicoechea • F. M. Wang • E. Kim • L. R. Aldridge • C. P. Lupton-Smith • R. Presskreischer • T.-H. Chang • S. LaRocca • F. Kreuter • E. A. Stuart
Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.
International Journal of Public Health 67. Mar. 2022. DOI

[1]
R. Valliant • J. A. Dever • F. Kreuter • G. Zipf
Package ‘PracTools’.
2022. URL