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Fairness

3337 directly classified papers

Papers per year

Papers

Understanding Human-Like Biases in VLMs via Subjective Face Analytics WACV 2026
Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement EACL 2026
Invisible Speakers? Gender Disparity in German AI Discourse and Its Reflection in Language Models EACL 2026
How Quantization Shapes Bias in Large Language Models EACL 2026
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech EACL 2026
Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone EACL 2026
Power Asymmetries, Bias, and AI, a Reflection of Society on Low-Resourced Languages - African Languages as Case Study EACL 2026
Discourses of Prevention: A Multimodal Study of HPV Vaccination Campaigns in Italy EACL 2026
Position: Biomedical NLP Demands Specialization, Not Generalization EACL 2026
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment EACL 2026
A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions WACV 2026
Detecting Subtle Biases: An Ethical Lens on Underexplored Areas in AI Language Models Biases EACL 2026
FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language Models EACL 2026
Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality EACL 2026
CAIRE: Cultural Attribution of Images with Retrieval EACL 2026
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026
FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation WACV 2026
FairScene: Learning Class-Disentangled 2D/3D Representations for Semantic Scene Completion WACV 2026
SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition WACV 2026
SilverLining: Data-First Mitigation of Spatial and Spectral Shortcuts Without Introducing New Confounders WACV 2026
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair WACV 2026
Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition WACV 2026
Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? EACL 2026
Evaluating the Effect of Retrieval Augmentation on Social Biases EACL 2026
SCALEX: Scalable Concept and Latent Exploration for Diffusion Models WACV 2026