{"total":29,"rows":[{"id":"2404.04125","title":"No \"Zero-Shot\" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance","created":"2024-04-04","cited_by_count":75,"area":null},{"id":"2308.00755","title":"The Bias Amplification Paradox in Text-to-Image Generation","created":"2023-08-01","cited_by_count":70,"area":null},{"id":"2404.01030","title":"Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation","created":"2024-04-01","cited_by_count":66,"area":null},{"id":"2401.14484","title":"Design Principles for Generative AI Applications","created":"2024-01-25","cited_by_count":57,"area":null},{"id":"2401.06310","title":"ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation","created":"2024-01-12","cited_by_count":27,"area":null},{"id":"2404.03242","title":"Would Deep Generative Models Amplify Bias in Future Models?","created":"2024-04-04","cited_by_count":24,"area":null},{"id":"2404.18624","title":"Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?","created":"2024-04-29","cited_by_count":24,"area":null},{"id":"2401.08053","title":"SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation","created":"2024-01-16","cited_by_count":19,"area":null},{"id":"2411.12785","title":"Joint Vision-Language Social Bias Removal for CLIP","created":"2024-11-19","cited_by_count":18,"area":null},{"id":"2304.03693","title":"Model-Agnostic Gender Debiased Image Captioning","created":"2023-04-07","cited_by_count":17,"area":null},{"id":"2312.13053","title":"Quantifying Bias in Text-to-Image Generative Models","created":"2023-12-20","cited_by_count":16,"area":null},{"id":"2410.19314","title":"Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)","created":"2024-10-25","cited_by_count":15,"area":null},{"id":"2408.02464","title":"Fairness and Bias Mitigation in Computer Vision: A Survey","created":"2024-08-05","cited_by_count":13,"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":"2407.03623","title":"Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes","created":"2024-07-04","cited_by_count":7,"area":null},{"id":"2410.18615","title":"FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation","created":"2024-10-24","cited_by_count":7,"area":null},{"id":"2508.17416","title":"Data Leakage in Visual Datasets","created":"2025-08-24","cited_by_count":7,"area":null},{"id":"2409.18055","title":"Visual Data Diagnosis and Debiasing with Concept Graphs","created":"2024-09-26","cited_by_count":6,"area":null},{"id":"2403.07687","title":"Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2506.05390","title":"Understanding Gender Bias in AI-Generated Product Descriptions","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2511.16309","title":"Sparse Autoencoders are Topic Models","created":"2025-11-20","cited_by_count":3,"area":null},{"id":"2406.06407","title":"A Taxonomy of Challenges to Curating Fair Datasets","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2508.17750","title":"From Global to Local: Social Bias Transfer in CLIP","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2509.16473","title":"The Iconicity of the Generated Image","created":"2025-09-19","cited_by_count":2,"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":"2606.05829","title":"Gender Artifacts from Art History to Text-to-Image Generation","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2608.01780","title":"Investigating Social Bias in Narrative Image Generation","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2505.17841","title":"TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2508.07132","title":"\"Draw me a curator\" Examining the visual stereotyping of a cultural services profession by generative AI","created":"2025-08-10","cited_by_count":0,"area":null}],"next_cursor":null}