SOTAVerified

Fairness

Papers

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Showing 176–200 of 5676 papers

TitleStatusHype
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive ProgrammingCode2
Seeing the Unseen: How EMoE Unveils Bias in Text-to-Image Diffusion Models—0
Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data—0
Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities—0
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach—0
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints—0
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It TeachesCode0
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals—0
Improving Fairness in LLMs Through Testing-Time Adversaries—0
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework—0
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks—0
Simple and Effective Specialized Representations for Fair Classifiers—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
HumaniBench: A Human-Centric Framework for Large Multimodal Models EvaluationCode0
Finding Counterfactual Evidences for Node ClassificationCode0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
MPMA: Preference Manipulation Attack Against Model Context Protocol—0
Fairness-aware Anomaly Detection via Fair Projection—0
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
Which Demographic Features Are Relevant for Individual Fairness Evaluation of U.S. Recidivism Risk Assessment Tools?—0
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical ImagingCode0
Beyond the Black Box: Interpretability of LLMs in Finance—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