SOTAVerified

Fairness

Papers

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Showing 601–625 of 5676 papers

TitleStatusHype
Marginal Fairness: Fair Decision-Making under Risk Measures—0
Smart Energy Guardian: A Hybrid Deep Learning Model for Detecting Fraudulent PV Generation—0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework—0
The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas—0
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems—0
Will Large Language Models Transform Clinical Prediction?—0
On the Deployment of RIS-mounted UAV Networks—0
Fairness under Competition—0
Reconsidering Fairness Through Unawareness from the Perspective of Model Multiplicity—0
Reasoning in Neurosymbolic AI—0
AIDRIN 2.0: A Framework to Assess Data Readiness for AI—0
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility—0
Liouville PDE-based sliced-Wasserstein flow for fair regression—0
Evaluating the Performance of Nigerian Lecturers using Multilayer Perceptron—0
A Generic Framework for Conformal FairnessCode0
Cultural Value Alignment in Large Language Models: A Prompt-based Analysis of Schwartz Values in Gemini, ChatGPT, and DeepSeek—0
Evaluate Bias without Manual Test Sets: A Concept Representation Perspective for LLMs—0
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data—0
Internal and External Impacts of Natural Language Processing Papers—0
OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language ModelsCode0
Distributionally Robust Federated Learning with Client Drift Minimization—0
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement LearningCode0
Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AICode0
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules—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