SOTAVerified

Fairness

Papers

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Showing 751–775 of 5676 papers

TitleStatusHype
Towards counterfactual fairness through auxiliary variablesCode0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
Targeting the Core: A Simple and Effective Method to Attack RAG-based Agents via Direct LLM Manipulation—0
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach—0
User-item fairness tradeoffs in recommendationsCode0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs—0
Improving LLM Group Fairness on Tabular Data via In-Context Learning—0
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi—0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
Fairness without Demographics through Learning Graph of GradientsCode0
Data Acquisition for Improving Model Fairness using Reinforcement Learning—0
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Bias Analysis of AI Models for Undergraduate Student Admissions—0
Lookahead Counterfactual FairnessCode0
Usage Governance Advisor: From Intent to AI Governance—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation—0
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided PlatformsCode0
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions—0
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective—0
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting—0
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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