SOTAVerified

Fairness

Papers

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Showing 751–775 of 5676 papers

TitleStatusHype
Steering Prosocial AI Agents: Computational Basis of LLM's Decision Making in Social Simulation—0
Benchmarking Mutual Information-based Loss Functions in Federated Learning—0
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting—0
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets—0
Diversity-Fair Online Selection—0
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks—0
Multi-Stream Transmission in Cell-Free MIMO Networks with Coherent AP Clustering—0
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives—0
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training—0
seeBias: A Comprehensive Tool for Assessing and Visualizing AI FairnessCode0
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems—0
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented GenerationCode0
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered—0
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness—0
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-JudgeCode0
Adaptive Bounded Exploration and Intermediate Actions for Data DebiasingCode0
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair—0
Trustworthy AI Must Account for Intersectionality—0
Uncovering Fairness through Data Complexity as an Early Indicator—0
On the merit principle in strategic exchange—0
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-TuningCode0
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions—0
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain—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