SOTAVerified

Fairness

Papers

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Showing 751–800 of 5676 papers

TitleStatusHype
Differentially Private Random Feature ModelCode0
Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs—0
Targeting the Core: A Simple and Effective Method to Attack RAG-based Agents via Direct LLM Manipulation—0
User-item fairness tradeoffs in recommendationsCode0
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
Linear Discriminant Analysis in Credit Scoring: A Transparent Hybrid Model Approach—0
Improving LLM Group Fairness on Tabular Data via In-Context Learning—0
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi—0
Fairness without Demographics through Learning Graph of GradientsCode0
Data Acquisition for Improving Model Fairness using Reinforcement Learning—0
Fairer Analysis and Demographically Balanced Face Generation for Fairer Face VerificationCode0
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models—0
Energy-Efficient Cell-Free Massive MIMO with Wireless Fronthaul—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
Bias Analysis of AI Models for Undergraduate Student Admissions—0
Lookahead Counterfactual FairnessCode0
Usage Governance Advisor: From Intent to AI Governance—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation—0
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided PlatformsCode0
Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective—0
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions—0
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting—0
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in HealthcareCode0
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation—0
FairDD: Fair Dataset Distillation via Synchronized Matching—0
Pilot Contamination Aware Transformer for Downlink Power Control in Cell-Free Massive MIMO Networks—0
ABROCA Distributions For Algorithmic Bias Assessment: Considerations Around InterpretationCode0
FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model ServingCode7
Spatial separation of closely-spaced users in measured distributed massive MIMO channels—0
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz DominanceCode1
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric LearningCode0
FreqX: Analyze the Attribution Methods in Another Domain—0
Retrofitting Large Language Models with Dynamic Tokenization—0
Fairness And Performance In Harmony: Data Debiasing Is All You Need—0
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs—0
Explainable AI for Classifying UTI Risk Groups Using a Real-World Linked EHR and Pathology Lab Dataset—0
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management—0
FinML-Chain: A Blockchain-Integrated Dataset for Enhanced Financial Machine Learning—0
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction—0
Ensuring Fair LLM Serving Amid Diverse Applications—0
"All that Glitters": Approaches to Evaluations with Unreliable Model and Human AnnotationsCode0
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis—0
Health AI Developer Foundations—0
FairAdapter: Detecting AI-generated Images with Improved FairnessCode0
The 1st Workshop on Human-Centered Recommender Systems—0
Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts—0
Exploring Accuracy-Fairness Trade-off in Large Language Models—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