SOTAVerified

Fairness

Papers

Showing 151175 of 5676 papers

TitleStatusHype
A Generic Framework for Conformal FairnessCode0
Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity0
On the Deployment of RIS-mounted UAV Networks0
Fairness under Competition0
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language ModelsCode3
Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek0
OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language ModelsCode0
Internal and External Impacts of Natural Language Processing Papers0
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive SurveyCode1
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs0
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data0
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement LearningCode0
Distributionally Robust Federated Learning with Client Drift Minimization0
Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AICode0
Unlearning Algorithmic Biases over Graphs0
DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis0
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules0
Explaining Neural Networks with ReasonsCode0
Mitigating Subgroup Disparities in Multi-Label Speech Emotion Recognition: A Pseudo-Labeling and Unsupervised Learning Approach0
Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes0
Automated Bias Assessment in AI-Generated Educational Content Using CEAT FrameworkCode0
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks0
SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio InformationCode1
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification0
Show:102550
← PrevPage 7 of 228Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86Unverified
21D-CSNNPredictive Equality (age)97.8Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96Unverified