SOTAVerified

Fairness

Papers

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Showing 2426–2450 of 5676 papers

TitleStatusHype
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information RetrievalCode0
Post Turing: Mapping the landscape of LLM Evaluation—0
Improving Fairness using Vision-Language Driven Image AugmentationCode0
Responsible Emergent Multi-Agent Behavior—0
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical StudyCode0
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs—0
Dynamic Fair Federated Learning Based on Reinforcement Learning—0
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case DistinctionsCode0
Noise Correction on Subjective Datasets—0
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
On the Opportunities of Green Computing: A Survey—0
FAIRLABEL: Correcting Bias in Labels—0
Parametric Fairness with Statistical Guarantees—0
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing—0
Towards Practical Non-Adversarial Distribution Matching—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessCode0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models—0
Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP TasksCode0
On Measuring Fairness in Generative Models—0
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts—0
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics—0
Using Early Readouts to Mediate Featural Bias in Distillation—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