Cover Image

Representation Bias in Political Sample Simulations with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Weihong, Lyu, Hanjia, Luo, Jiebo
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

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese
by: Lyu, Hanjia, et al.
Published: (2025)

Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation
by: Qiu, Zhongyi, et al.
Published: (2025)

Semantics Preserving Emoji Recommendation with Large Language Models
by: Qiu, Zhongyi, et al.
Published: (2024)

Irony in Emojis: A Comparative Study of Human and LLM Interpretation
by: Zheng, Yawen, et al.
Published: (2025)

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
by: Huang, Jinfa, et al.
Published: (2024)

Computational Assessment of Hyperpartisanship in News Titles
by: Lyu, Hanjia, et al.
Published: (2023)

ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
by: Zhang, Xinnong, et al.
Published: (2024)

Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication
by: Lyu, Hanjia, et al.
Published: (2024)

Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration
by: Lin, Chenwei, et al.
Published: (2024)

INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
by: Lin, Chenwei, et al.
Published: (2024)

SoMeLVLM: A Large Vision Language Model for Social Media Processing
by: Zhang, Xinnong, et al.
Published: (2024)

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
by: Chatterjee, Sreejato, et al.
Published: (2025)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
by: Lyu, Hanjia, et al.
Published: (2024)

Assessing Political Bias in Large Language Models
by: Rettenberger, Luca, et al.
Published: (2024)

Holistic Visual-Textual Sentiment Analysis with Prior Models
by: Chen, Junyu, et al.
Published: (2022)

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey
by: Qi, Yayun, et al.
Published: (2024)

SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
by: Zhang, Xinnong, et al.
Published: (2025)

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs
by: Wang, Shanshan, et al.
Published: (2026)

Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
by: Exler, David, et al.
Published: (2025)

Benchmarking Gender and Political Bias in Large Language Models
by: Yang, Jinrui, et al.
Published: (2025)

Learning to Evaluate the Artness of AI-generated Images
by: Chen, Junyu, et al.
Published: (2023)

Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
by: Gu, Yuxuan, et al.
Published: (2026)

Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
by: Derner, Erik, et al.
Published: (2024)

Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
by: Yang, Kai-Cheng, et al.
Published: (2023)

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification
by: Ng, Lynnette Hui Xian, et al.
Published: (2024)

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
by: Bang, Yejin, et al.
Published: (2024)

A Cross-Cultural Comparison of LLM-based Public Opinion Simulation: Evaluating Chinese and U.S. Models on Diverse Societies
by: Qi, Weihong, et al.
Published: (2025)

On the Inevitability of Left-Leaning Political Bias in Aligned Language Models
by: Hagendorff, Thilo
Published: (2025)

Calibrating Large Language Models with Sample Consistency
by: Lyu, Qing, et al.
Published: (2024)

Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models
by: Gong, Xilin, et al.
Published: (2026)

Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
by: Cui, Xia, et al.
Published: (2025)

Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
by: Faulborn, Mats, et al.
Published: (2025)

CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs
by: Zhang, Daoan, et al.
Published: (2024)

On the Relationship between Truth and Political Bias in Language Models
by: Fulay, Suyash, et al.
Published: (2024)

Political Alignment in Large Language Models: A Multidimensional Audit of Psychometric Identity and Behavioral Bias
by: Sakhawat, Adib, et al.
Published: (2026)

Acquiescence Bias in Large Language Models
by: Braun, Daniel
Published: (2025)

Simulating a Bias Mitigation Scenario in Large Language Models
by: Kiashemshaki, Kiana, et al.
Published: (2025)

Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
by: Plaza-del-Arco, Flor Miriam, et al.
Published: (2024)

Linear Representations of Political Perspective Emerge in Large Language Models
by: Kim, Junsol, et al.
Published: (2025)