{"total":37,"rows":[{"id":"2503.23398","title":"A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models","created":"2025-03-30","cited_by_count":14,"area":null},{"id":"2511.17282","title":"Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation","created":"2025-11-21","cited_by_count":11,"area":null},{"id":"2407.00138","title":"Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models","created":"2024-06-28","cited_by_count":9,"area":null},{"id":"2503.08012","title":"Exploring Bias in over 100 Text-to-Image Generative Models","created":"2025-03-11","cited_by_count":9,"area":null},{"id":"2501.00962","title":"OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes","created":"2025-01-01","cited_by_count":8,"area":null},{"id":"2410.05217","title":"Organizing Unstructured Image Collections using Natural Language","created":"2024-10-07","cited_by_count":7,"area":null},{"id":"2504.13392","title":"POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation","created":"2025-04-18","cited_by_count":6,"area":null},{"id":"2410.22592","title":"GRADE: Quantifying Sample Diversity in Text-to-Image Models","created":"2024-10-29","cited_by_count":5,"area":null},{"id":"2412.06632","title":"MAVias: Mitigate any Visual Bias","created":"2024-12-09","cited_by_count":5,"area":null},{"id":"2408.09570","title":"Say My Name: a Model's Bias Discovery Framework","created":"2024-08-18","cited_by_count":4,"area":null},{"id":"2504.20902","title":"Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers","created":"2025-04-29","cited_by_count":4,"area":null},{"id":"2506.05108","title":"DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models","created":"2025-06-05","cited_by_count":4,"area":null},{"id":"2505.24023","title":"Multi-Group Proportional Representation for Text-to-Image Models","created":"2025-05-29","cited_by_count":3,"area":null},{"id":"2508.10637","title":"Processing and acquisition traces in visual encoders: What does CLIP know about your camera?","created":"2025-08-14","cited_by_count":3,"area":null},{"id":"2408.16700","title":"GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models","created":"2024-08-29","cited_by_count":2,"area":null},{"id":"2410.04634","title":"Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models","created":"2024-10-06","cited_by_count":2,"area":null},{"id":"2411.13981","title":"On the Fairness, Diversity and Reliability of Text-to-Image Generative Models","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2411.15605","title":"GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers","created":"2024-11-23","cited_by_count":2,"area":null},{"id":"2503.09763","title":"BiasConnect: Investigating Bias Interactions in Text-to-Image Models","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2509.08940","title":"Discovering Divergent Representations between Text-to-Image Models","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2510.21704","title":"Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2601.00996","title":"VEAT Quantifies Implicit Associations in Text-to-Video Generator Sora and Reveals Challenges in Bias Mitigation","created":"2026-01-02","cited_by_count":2,"area":null},{"id":"2406.12805","title":"AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation","created":"2024-06-18","cited_by_count":1,"area":null},{"id":"2411.13982","title":"Safety Without Semantic Disruptions: Editing-free Safe Image Generation via Context-preserving Dual Latent Reconstruction","created":"2024-11-21","cited_by_count":1,"area":null},{"id":"2512.13427","title":"MineTheGap: Automatic Mining of Biases in Text-to-Image Models","created":"2025-12-15","cited_by_count":1,"area":null},{"id":"2502.03826","title":"FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing","created":"2025-02-06","cited_by_count":0,"area":null},{"id":"2503.19361","title":"ImageSet2Text: Describing Sets of Images through Text","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2504.06313","title":"Text-to-Image Models and Their Representation of People from Different Nationalities Engaging in Activities","created":"2025-04-08","cited_by_count":0,"area":null},{"id":"2505.12100","title":"Improving Fairness in LLMs Through Testing-Time Adversaries","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2508.03483","title":"When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2510.20482","title":"Reliable and Reproducible Demographic Inference for Fairness in Face Analysis","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2602.04713","title":"Adaptive Prompt Elicitation for Text-to-Image Generation","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2604.09923","title":"GLEaN: A Text-to-image Bias Detection Approach for Public Comprehension","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2604.16516","title":"Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2606.01282","title":"KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2607.08515","title":"Beyond wheelchairs and blindfolds: Investigating disability stereotypes in T2I models with INCLUDE-BENCH","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2607.24898","title":"Harm is not Universal: Community-Specific Toxicity Detection is Urgently Needed","created":"2026-07-27","cited_by_count":0,"area":null}],"next_cursor":null}