SOTAVerified

Fairness

Papers

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Showing 901–925 of 5676 papers

TitleStatusHype
General Frameworks for Conditional Two-Sample TestingCode0
End-to-End Optimization and Learning of Fair Court Schedules—0
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language ModelsCode0
Trustworthy XAI and Application—0
Revisiting Technical Bias Mitigation Strategies—0
Revealing Hidden Bias in AI: Lessons from Large Language Models—0
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation—0
Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation—0
Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness—0
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg EquilibriumCode1
Fairness Evaluation with Item Response Theory—0
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesCode0
Ethical AI in Retail: Consumer Privacy and Fairness—0
Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game—0
Data Augmentation via Diffusion Model to Enhance AI Fairness—0
A Semidefinite Relaxation Approach for Fair Graph ClusteringCode0
Cooperation and Fairness in Multi-Agent Reinforcement LearningCode1
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs—0
Text-to-Image Representativity Fairness Evaluation Framework—0
Auditing and Enforcing Conditional Fairness via Optimal Transport—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
Pessimistic Evaluation—0
The Disparate Benefits of Deep EnsemblesCode0
debiaSAE: Benchmarking and Mitigating Vision-Language Model BiasCode0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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