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Fairness
3337 directly classified papers
Papers per year
2011: 1
2013: 3
2014: 2
2016: 6
2017: 30
2018: 65
2019: 182
2020: 239
2021: 373
2022: 456
2023: 533
2024: 648
2025: 644
2026: 155
Papers
ReMedQA: Are We Done With Medical Multiple-Choice Benchmarks?
EACL 2026
Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection
EACL 2026
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
EACL 2026
QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Task
EACL 2026
Fairness in the Multi-Secretary Problem
AAAI 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
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