SOTAVerified

Fairness

Papers

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Showing 926–950 of 5676 papers

TitleStatusHype
Fairness-Enhancing Ensemble Classification in Water Distribution NetworksCode0
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesCode0
First-Person Fairness in Chatbots—0
Advancing Fairness in Natural Language Processing: From Traditional Methods to Explainability—0
BenchmarkCards: Large Language Model and Risk Reporting—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights—0
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluationCode1
FairGLVQ: Fairness in Partition-Based ClassificationCode0
Measuring Spiritual Values and Bias of Large Language Models—0
The Fair Language Model Paradox—0
Bias Similarity Across Large Language Models—0
Hairmony: Fairness-aware hairstyle classification—0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes BenchmarkCode0
Towards Fair Graph Representation Learning in Social Networks—0
Gender Bias of LLM in Economics: An Existentialism Perspective—0
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning TasksCode0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data—0
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies—0
A New Perspective to Boost Performance Fairness for Medical Federated LearningCode0
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine LearningCode0
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 OutlookCode2
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified