SOTAVerified

Fairness

Papers

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Showing 51–75 of 5676 papers

TitleStatusHype
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics—0
Robustly Improving LLM Fairness in Realistic Settings via InterpretabilityCode0
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models—0
Size-adaptive Hypothesis Testing for FairnessCode0
Towards Responsible AI: Advances in Safety, Fairness, and Accountability of Autonomous Systems—0
GRAIL: A Benchmark for GRaph ActIve Learning in Dynamic Sensing Environments—0
Learning to Collaborate Over Graphs: A Selective Federated Multi-Task Learning ApproachCode0
FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines—0
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label DistillationCode0
Fairness is Not Silence: Unmasking Vacuous Neutrality in Small Language Models—0
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models—0
Convergence of Spectral Principal Paths: How Deep Networks Distill Linear Representations from Noisy Inputs—0
Societal AI Research Has Become Less Interdisciplinary—0
Towards Fair Representation: Clustering and Consensus—0
Hidden Bias in the Machine: Stereotypes in Text-to-Image Models—0
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective—0
Improving Fairness of Large Language Models in Multi-document SummarizationCode0
Design and Evaluation of Deep Learning-Based Dual-Spectrum Image Fusion Methods—0
Statistical Hypothesis Testing for Auditing Robustness in Language Models—0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning—0
Learning-Based Multiuser Scheduling in MIMO-OFDM Systems with Hybrid Beamforming—0
Accelerating Spectral Clustering under Fairness Constraints—0
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework—0
FairPFN: A Tabular Foundation Model for Causal FairnessCode0
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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