SOTAVerified

Fairness

Papers

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Showing 401–450 of 5676 papers

TitleStatusHype
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental—0
OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System—0
Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection—0
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination—0
Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization—0
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution—0
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model—0
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies—0
Optimal Hybrid Transmit Beamforming for mm-Wave Integrated Sensing and Communication—0
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning—0
LLM Agents for Education: Advances and Applications—0
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems—0
Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash EquilibriumCode0
The Role of Hyperparameters in Predictive Multiplicity—0
PluralLLM: Pluralistic Alignment in LLMs via Federated Learning—0
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis—0
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction—0
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models—0
EquiPy: Sequential Fairness using Optimal Transport in Python—0
Group-robust Machine UnlearningCode0
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State MatchingCode1
Mitigating Membership Inference Vulnerability in Personalized Federated Learning—0
Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data—0
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation MethodsCode0
Exposing Product Bias in LLM Investment Recommendation—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Learning Pareto manifolds in high dimensions: How can regularization help?—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Reconfigurable Intelligent Sensing Surface enables Wireless Powered Communication Networks: Interference Suppression and Massive Wireless Energy Transfer—0
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models—0
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing—0
Process-Supervised LLM Recommenders via Flow-guided TuningCode1
The influence of missing data mechanisms and simple missing data handling techniques on fairness—0
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference TimeCode0
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond—0
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification—0
Fairness-aware organ exchange and kidney paired donation—0
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers—0
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases—0
Gradient-Driven Graph Neural Networks for Learning Digital and Hybrid Precoder—0
The AI Pentad, the CHARME^2D Model, and an Assessment of Current-State AI Regulation—0
A Frank System for Co-Evolutionary Hybrid Decision-Making—0
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints—0
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models—0
Precoder Learning for Weighted Sum Rate Maximization—0
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market—0
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm—0
Towards Trustworthy Federated Learning—0
Biased Heritage: How Datasets Shape Models in Facial Expression RecognitionCode0
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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