Cover Image

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Bolei, Yoztyurk, Berk, Haensch, Anna-Carolina, Wang, Xinpeng, Herklotz, Markus, Kreuter, Frauke, Plank, Barbara, Assenmacher, Matthias
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
by: Ma, Bolei, et al.
Published: (2024)

Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
by: Ma, Bolei, et al.
Published: (2025)

Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry
by: Ma, Bolei, et al.
Published: (2025)

Can we trust LLMs as a tutor for our students? Evaluating the Quality of LLM-generated Feedback in Statistics Exams
by: Herklotz, Markus, et al.
Published: (2025)

Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
by: Ahnert, Georg, et al.
Published: (2025)

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
by: Wang, Xinpeng, et al.
Published: (2024)

Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
by: von der Heyde, Leah, et al.
Published: (2024)

Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
by: Eckman, Stephanie, et al.
Published: (2025)

Beyond Correctness: Evaluating and Improving LLM Feedback in Statistical Education
by: Ippisch, Niklas, et al.
Published: (2025)

Position: Insights from Survey Methodology can Improve Training Data
by: Eckman, Stephanie, et al.
Published: (2024)

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think
by: Wang, Xinpeng, et al.
Published: (2024)

Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
by: Ma, Bolei, et al.
Published: (2025)

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback
by: Ippisch, Niklas, et al.
Published: (2024)

Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
by: Nie, Ercong, et al.
Published: (2024)

Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction
by: Ball, Sarah, et al.
Published: (2025)

AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
by: Wuttke, Alexander, et al.
Published: (2024)

United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
by: von der Heyde, Leah, et al.
Published: (2024)

Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
by: Ball, Sarah, et al.
Published: (2024)

Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs
by: Yuan, Chenchen, et al.
Published: (2026)

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance
by: Kern, Christoph, et al.
Published: (2023)

"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
by: Haensch, Anna-Carolina
Published: (2025)

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
by: von der Heyde, Leah, et al.
Published: (2025)

Chapter 7 Digital Trace Data
by: Keusch, Florian, et al.
Published: (2021)

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
by: Ma, Bolei, et al.
Published: (2024)

Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
by: Wang, Xinpeng, et al.
Published: (2024)

Revisiting Active Learning under (Human) Label Variation
by: Gruber, Cornelia, et al.
Published: (2025)

Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector
by: Fischer-Abaigar, Unai, et al.
Published: (2023)

The Imperfective Paradox in Large Language Models
by: Ma, Bolei, et al.
Published: (2026)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
by: Hobelsberger, Christian, et al.
Published: (2025)

A Simple Packing Algorithm for Optimized Mapping of Artificial Neural Networks onto Non-Volatile Memory Cross-Bar Arrays
by: Haensch, W.
Published: (2024)

The Impact of Question Framing on the Performance of Automatic Occupation Coding
by: Kononykhina, Olga, et al.
Published: (2025)

To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?
by: Weiss, Christopher, et al.
Published: (2023)

Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
by: Lee, S., et al.
Published: (2023)

Can OpenSource beat ChatGPT? -- A Comparative Study of Large Language Models for Text-to-Code Generation
by: Mayer, Luis, et al.
Published: (2024)

Mexico 2021: Psychological Intimate Partner Violence Against Women and the Role of Childhood Violence Exposure -- A Machine Learning Approach
by: Ceballos, Clara Strasser, et al.
Published: (2025)

Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
by: Simson, Jan, et al.
Published: (2025)

Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA
by: Pei, Renhao, et al.
Published: (2026)

Refusal Direction is Universal Across Safety-Aligned Languages
by: Wang, Xinpeng, et al.
Published: (2025)

Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects
by: Blaschke, Verena, et al.
Published: (2025)

Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike
by: Winkler, Miriam, et al.
Published: (2026)