Copertina

Are Models Biased on Text without Gender-related Language?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Belém, Catarina G, Seshadri, Preethi, Razeghi, Yasaman, Singh, Sameer
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Computers and Society Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TurtleBench: A Visual Programming Benchmark in Turtle Geometry
di: Rismanchian, Sina, et al.
Pubblicazione: (2024)

Identifying Implicit Social Biases in Vision-Language Models
di: Hamidieh, Kimia, et al.
Pubblicazione: (2024)

Auditing Gender Presentation Differences in Text-to-Image Models
di: Zhang, Yanzhe, et al.
Pubblicazione: (2023)

Nudging: Inference-time Alignment of LLMs via Guided Decoding
di: Fei, Yu, et al.
Pubblicazione: (2024)

The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects
di: Wan, Yixin, et al.
Pubblicazione: (2024)

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

Gender Bias in Text-to-Video Generation Models: A case study of Sora
di: Nadeem, Mohammad, et al.
Pubblicazione: (2024)

NegVQA: Can Vision Language Models Understand Negation?
di: Zhang, Yuhui, et al.
Pubblicazione: (2025)

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
di: Xia, Peng, et al.
Pubblicazione: (2024)

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
di: Zhang, Yuhui, et al.
Pubblicazione: (2025)

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
di: Parraga, Otávio, et al.
Pubblicazione: (2022)

CRAFT: Cultural Russian-Oriented Dataset Adaptation for Focused Text-to-Image Generation
di: Vasilev, Viacheslav, et al.
Pubblicazione: (2025)

Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
di: Liu, Zhining, et al.
Pubblicazione: (2026)

Smiling Women Pitching Down: Auditing Representational and Presentational Gender Biases in Image Generative AI
di: Sun, Luhang, et al.
Pubblicazione: (2023)

RadDiff: Describing Differences in Radiology Image Sets with Natural Language
di: Shen, Xiaoxian, et al.
Pubblicazione: (2026)

Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
di: Wolfe, Robert, et al.
Pubblicazione: (2024)

Vision-Language Models under Cultural and Inclusive Considerations
di: Karamolegkou, Antonia, et al.
Pubblicazione: (2024)

VideoNorms: Benchmarking Cultural Awareness of Video Language Models
di: Varimalla, Nikhil Reddy, et al.
Pubblicazione: (2025)

Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models
di: Zhao, Yuming, et al.
Pubblicazione: (2026)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
di: Madasu, Avinash, et al.
Pubblicazione: (2025)

Reliable and Responsible Foundation Models: A Comprehensive Survey
di: Yang, Xinyu, et al.
Pubblicazione: (2026)

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
di: Wan, Yixin, et al.
Pubblicazione: (2024)

Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions
di: Sert, Egemen, et al.
Pubblicazione: (2025)

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
di: Wan, David, et al.
Pubblicazione: (2024)

Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals
di: Siddiqui, Zohaib Hasan, et al.
Pubblicazione: (2025)

Towards Visual Text Grounding of Multimodal Large Language Model
di: Li, Ming, et al.
Pubblicazione: (2025)

Finetuning Text-to-Image Diffusion Models for Fairness
di: Shen, Xudong, et al.
Pubblicazione: (2023)

Perceptions of Linguistic Uncertainty by Language Models and Humans
di: Belem, Catarina G, et al.
Pubblicazione: (2024)

A Multimodal, Multitask System for Generating E Commerce Text Listings from Images
di: Singh, Nayan Kumar
Pubblicazione: (2025)

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

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
di: Lin, Xiao, et al.
Pubblicazione: (2025)

AI-generated data contamination erodes pathological variability and diagnostic reliability
di: He, Hongyu, et al.
Pubblicazione: (2026)

Direction-Flipped Influence Audits Reveal Hidden Structure in Moral Choices of LLMs
di: Blandfort, Phil, et al.
Pubblicazione: (2026)

Auto-scaling Continuous Memory for GUI Agent
di: Wu, Wenyi, et al.
Pubblicazione: (2025)

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
di: Mazeika, Mantas, et al.
Pubblicazione: (2025)

Will we run out of data? Limits of LLM scaling based on human-generated data
di: Villalobos, Pablo, et al.
Pubblicazione: (2022)

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
di: Hirota, Yusuke, et al.
Pubblicazione: (2025)

Representation Engineering: A Top-Down Approach to AI Transparency
di: Zou, Andy, et al.
Pubblicazione: (2023)

We Should Separate Memorization from Copyright
di: Haviv, Adi, et al.
Pubblicazione: (2026)

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
di: Liu, Dongrui, et al.
Pubblicazione: (2026)