BiasIG: Benchmarking Multi-dimensional Social Biases in Text-to-Image Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Hanjun, Huang, Zhimu, Huang, Haoyu, Deng, Ziye, Chen, Ruizhe, Li, Xinfeng, Liu, Zuozhu, Salam, Hanan
Format:	Preprint
Published:	2026
Subjects:	Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
by: Luo, Hanjun, et al.
Published: (2024)

BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models
by: Luo, Hanjun, et al.
Published: (2024)

VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary
by: Luo, Hanjun, et al.
Published: (2024)

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
by: Luo, Hanjun, et al.
Published: (2026)

CentaurEval: Benchmarking Human-in-the-Loop Value in Agentic Coding
by: Luo, Hanjun, et al.
Published: (2025)

PrefIx: Understand and Adapt to User Preference in Human-Agent Interaction
by: Li, Jialin, et al.
Published: (2026)

BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
by: Fan, Zhiting, et al.
Published: (2025)

BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model Responses
by: Xu, Xin, et al.
Published: (2025)

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs
by: Fan, Zhiting, et al.
Published: (2024)

Adultification Bias in LLMs and Text-to-Image Models
by: Castleman, Jane, et al.
Published: (2025)

T2IBias: Uncovering Societal Bias Encoded in the Latent Space of Text-to-Image Generative Models
by: Sufian, Abu, et al.
Published: (2025)

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models
by: Chinchure, Aditya, et al.
Published: (2023)

MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025)

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
by: Jiang, Bohan, et al.
Published: (2024)

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing
by: Chen, Ruizhe, et al.
Published: (2024)

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
by: Luo, Hanjun, et al.
Published: (2024)

Identifying and Mitigating Social Bias Knowledge in Language Models
by: Chen, Ruizhe, et al.
Published: (2024)

Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models
by: Mandal, Abhishek, et al.
Published: (2024)

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents
by: Luo, Hanjun, et al.
Published: (2025)

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
by: Girrbach, Leander, et al.
Published: (2025)

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models
by: Kuchlous, Sahil, et al.
Published: (2024)

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
by: Fan, Zhiting, et al.
Published: (2024)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

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

Gender Biased Legal Case Retrieval System on Users' Decision Process
by: Zhang, Ruizhe, et al.
Published: (2024)

LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)

AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
by: Mou, Xinyi, et al.
Published: (2024)

GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations
by: Wilming, Rick, et al.
Published: (2024)

Generative Language Models Exhibit Social Identity Biases
by: Hu, Tiancheng, et al.
Published: (2023)

Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025)

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models
by: Porikli, Sedat, et al.
Published: (2025)

No Free Lunch in Language Model Bias Mitigation? Targeted Bias Reduction Can Exacerbate Unmitigated LLM Biases
by: Chand, Shireen, et al.
Published: (2025)

Evidence of Cognitive Biases in Capture-the-Flag Cybersecurity Competitions
by: Carreira, Carolina, et al.
Published: (2025)

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
by: Struppek, Lukas, et al.
Published: (2022)

Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
by: Majumdar, Ayan, et al.
Published: (2025)

Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs
by: Scarano, Stephen, et al.
Published: (2024)

Ethically-Aware Participatory Design of a Productivity Social Robot for College Students
by: Lalwani, Himanshi, et al.
Published: (2025)

Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models
by: Singh, Divyanshu Kumar, et al.
Published: (2026)

Emotional Images: Assessing Emotions in Images and Potential Biases in Generative Models
by: Mehta, Maneet, et al.
Published: (2024)

As Biased as You Measure: Methodological Pitfalls of Bias Evaluations in Speaker Verification Research
by: Hutiri, Wiebke, et al.
Published: (2024)