Frauke Kreuter
17 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
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ACL (5)
EACL (4)
EMNLP (3)
AACL (1)
COLING (1)
ICML (1)
IJCNLP (1)
NAACL (1)
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Research topics
Keywords
large language model
(6)
zero-shot learning
(4)
sequence labeling
(3)
decomposed prompting
(2)
survey methodology
(2)
part-of-speech tagging
(2)
training datum
(2)
model calibration
(1)
opinion mining
(1)
benchmark evaluation
(1)
named entity recognition
(1)
text generation
(1)
universal dependencies
(1)
autoregressive generation
(1)
model evaluation
(1)
evaluation methodology
(1)
cross-lingual transfer
(1)
german language
(1)
bert model
(1)
information extraction
(1)
Papers
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
EACL 2026
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
EACL 2026
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
ACL 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
IJCNLP 2025
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
NAACL 2025
Mind the Gap: Gender-based Differences in Occupational Embeddings
ACL 2025
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
ACL 2025
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
AACL 2025
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
EMNLP 2025
βMy Answer is Cβ: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
ACL 2024
Informing climate risk analysis using textual information - A research agenda
ACL 2024
To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems?
COLING 2024
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
EACL 2024
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity
EACL 2024
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
EMNLP 2024
Position: Insights from Survey Methodology can Improve Training Data
ICML 2024
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance
EMNLP 2023