Cover Image

Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raza, Shaina, Powers, Maximus, Saha, Partha Pratim, Raza, Mahveen, Qureshi, Rizwan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
by: Powers, Maximus, et al.
Published: (2024)

BEADs: Bias Evaluation Across Domains
by: Raza, Shaina, et al.
Published: (2024)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context
by: Raza, Shaina, et al.
Published: (2024)

Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods
by: Raza, Shaina, et al.
Published: (2025)

Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?
by: Raza, Shaina, et al.
Published: (2024)

A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
by: Bashir, Syed Raza, et al.
Published: (2024)

VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment
by: Raza, Shaina, et al.
Published: (2025)

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
by: Raza, Shaina, et al.
Published: (2024)

Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models
by: Saeed, Muhammed, et al.
Published: (2025)

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
by: Raza, Shaina, et al.
Published: (2023)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
by: Sapkota, Ranjan, et al.
Published: (2025)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
by: Raza, Shaina, et al.
Published: (2024)

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
by: Chatrath, Veronica, et al.
Published: (2024)

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
by: Raval, Ananya, et al.
Published: (2025)

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
by: Raza, Shaina, et al.
Published: (2023)

Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
by: Garg, Muskan, et al.
Published: (2024)

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
by: Raza, Shaina, et al.
Published: (2024)

PCS: Perceived Confidence Scoring of Black Box LLMs with Metamorphic Relations
by: Salimian, Sina, et al.
Published: (2025)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey
by: Garg, Muskan, et al.
Published: (2025)

Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
by: Narayanan, Aravind, et al.
Published: (2025)

EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta
by: Bernard, Raymond, et al.
Published: (2024)

ConvFill: Model Collaboration for Responsive Conversational Voice Agents
by: Srinivas, Vidya, et al.
Published: (2025)

FairSense-AI: Responsible AI Meets Sustainability
by: Raza, Shaina, et al.
Published: (2025)

Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning
by: Chaduvula, Sindhuja, et al.
Published: (2026)

DanceText: A Training-Free Layered Framework for Controllable Multilingual Text Transformation in Images
by: Yu, Zhenyu, et al.
Published: (2025)

Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text
by: Sommerauer, Pia, et al.
Published: (2025)

The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive
by: Raza, Shaina
Published: (2026)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
by: Raza, Shaina, et al.
Published: (2024)

Desert Camels and Oil Sheikhs: Arab-Centric Red Teaming of Frontier LLMs
by: Saeed, Muhammed, et al.
Published: (2024)

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey
by: Sapkota, Ranjan, et al.
Published: (2025)

Systematic Offensive Stereotyping (SOS) Bias in Language Models
by: Elsafoury, Fatma
Published: (2023)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
by: Friedrich, Felix, et al.
Published: (2024)

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models
by: Khan, Sumra, et al.
Published: (2026)

Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
by: Barve, Saharsh, et al.
Published: (2025)

A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
by: Madhiarasan, M., et al.
Published: (2022)

Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)

Do Multilingual Large Language Models Mitigate Stereotype Bias?
by: Nie, Shangrui, et al.
Published: (2024)

PakBBQ: A Culturally Adapted Bias Benchmark for QA
by: Hashmat, Abdullah, et al.
Published: (2025)

Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
by: Kuila, Alapan, et al.
Published: (2024)

Generalists vs. Specialists: Evaluating Large Language Models for Urdu
by: Arif, Samee, et al.
Published: (2024)