SOTAVerified

Fairness

Papers

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Showing 201–250 of 5676 papers

TitleStatusHype
Source framing triggers systematic evaluation bias in Large Language Models—0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing—0
Fair Clustering via Alignment—0
Toward Fair Federated Learning under Demographic Disparities and Data ImbalanceCode0
Towards Fair In-Context Learning with Tabular Foundation ModelsCode0
Fairness-aware Bayes optimal functional classification—0
Detecting Prefix Bias in LLM-based Reward Models—0
Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness—0
Aggregating Concepts of Accuracy and Fairness in Prediction Algorithms—0
Max-Min Fairness in Stacked Intelligent Metasurface-Aided Rate Splitting Networks—0
A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations—0
Wireless Link Scheduling with State-Augmented Graph Neural NetworksCode0
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML FairnessCode0
Doubly Robust Fusion of Many Treatments for Policy Learning—0
Justified Evidence Collection for Argument-based AI Fairness AssuranceCode0
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-KnowledgeCode0
Must Read: A Systematic Survey of Computational PersuasionCode1
Constrained Online Decision-Making: A Unified Framework—0
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics—0
Mixed-Integer Optimization for Responsible Machine Learning—0
Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact—0
Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification—0
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and VulnerabilitiesCode0
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine LearningCode0
Fairness Perceptions in Regression-based Predictive Models—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—0
Fair Uncertainty Quantification for Depression Prediction—0
Robust ML Auditing using Prior Knowledge—0
TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh OptimizationCode2
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
Robust Fairness Vision-Language Learning for Medical Image AnalysisCode0
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMsCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI—0
FairPO: Robust Preference Optimization for Fair Multi-Label Learning—0
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data AugmentationCode0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Causally Fair Node Classification on Non-IID Graph Data—0
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta LearningCode0
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization—0
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc MethodsCode0
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding MetropolisesCode0
Artificial Intelligence in Government: Why People Feel They Lose Control—0
Bayes-Optimal Fair Classification with Multiple Sensitive Features—0
From Texts to Shields: Convergence of Large Language Models and Cybersecurity—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