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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

SCALEX: Scalable Concept and Latent Exploration for Diffusion Models WACV 2026
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models WACV 2026
Lose Your Self (LoYS): An Adversarial Entropy-based Unsupervised Approach for Model Debiasing 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
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026
Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection WACV 2026
FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation WACV 2026
BAFIS: Dataset + Framework to Assess Occupational Bias and Human Preference in Modern Text-to-image Models 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
Understanding Human-Like Biases in VLMs via Subjective Face Analytics WACV 2026
A Woman with a Knife or A Knife with a Woman? Measuring Directional Bias Amplification in Image Captions WACV 2026
How Quantization Shapes Bias in Large Language Models EACL 2026
From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech EACL 2026
ReMedQA: Are We Done With Medical Multiple-Choice Benchmarks? EACL 2026
SoS: Analysis of Surface over Semantics in Multilingual Text-To-Image Generation EACL 2026
Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement EACL 2026
Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026
Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics? EACL 2026
Evaluating the Effect of Retrieval Augmentation on Social Biases EACL 2026
The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language Models EACL 2026
Detecting Subtle Biases: An Ethical Lens on Underexplored Areas in AI Language Models Biases EACL 2026
“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations EACL 2026