{"total":23,"rows":[{"id":"2404.01268","title":"Mapping the Increasing Use of LLMs in Scientific Papers","created":"2024-04-01","cited_by_count":118,"area":null},{"id":"2312.01261","title":"TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models","created":"2023-12-03","cited_by_count":52,"area":null},{"id":"2407.20371","title":"Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval","created":"2024-07-29","cited_by_count":51,"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":"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":"2403.10776","title":"From Melting Pots to Misrepresentations: Exploring Harms in Generative AI","created":"2024-03-16","cited_by_count":13,"area":null},{"id":"2503.09805","title":"Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models","created":"2025-03-12","cited_by_count":6,"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":"2501.18642","title":"DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model","created":"2025-01-28","cited_by_count":3,"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":"2605.07896","title":"What if AI systems weren't chatbots?","created":"2026-05-08","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":"2602.12133","title":"Neutral Prompts, Non-Neutral People: Quantifying Gender and Skin-Tone Bias in Gemini Flash 2.5 Image and GPT Image 1.5","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2609.11532","title":"Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems","created":"2026-09-10","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":"2504.13947","title":"From job titles to jawlines: Using context voids to study generative AI systems","created":"2025-04-16","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":"2511.07682","title":"Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2601.14506","title":"Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across Indian and American STEM Education","created":"2026-01-20","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":"2606.00039","title":"Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2606.13397","title":"Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities","created":"2026-06-11","cited_by_count":0,"area":null}],"next_cursor":null}