SOTAVerified

Fairness

Papers

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Showing 3851–3900 of 5676 papers

TitleStatusHype
Unveiling Pitfalls: Understanding Why AI-driven Code Agents Fail at GitHub Issue Resolution—0
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation—0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection—0
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks—0
UPCS: Unbiased Persona Construction for Dialogue Generation—0
Usage Governance Advisor: From Intent to AI Governance—0
Use of a Citizen Science Platform for the Creation of a Language Resource to Study Bias in Language Models for French: A Case Study—0
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
User Fairness in Recommender Systems—0
User-item matching for recommendation fairness—0
User Modeling and User Profiling: A Comprehensive Survey—0
User Pairing and Power Allocation for FTN-based SC-NOMA and MIMO-NOMA Systems Considering User Fairness—0
User Subgrouping and Power Control for Multicast Massive MIMO over Spatially Correlated Channels—0
User Subgrouping in Multicast Massive MIMO over Spatially Correlated Rayleigh Fading Channels—0
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data—0
Using ChatGPT to Score Essays and Short-Form Constructed Responses—0
Using Early Readouts to Mediate Featural Bias in Distillation—0
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations—0
Using LDA and LSTM Models to Study Public Opinions and Critical Groups Towards Congestion Pricing in New York City through 2007 to 2019—0
Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning—0
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition—0
Using Property Elicitation to Understand the Impacts of Fairness Regularizers—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Utility Fairness for the Differentially Private Federated Learning—0
Utility Fairness in Contextual Dynamic Pricing with Demand Learning—0
Utility-Fairness Trade-Offs and How to Find Them—0
Utility is in the Eye of the User: A Critique of NLP Leaderboards—0
Utility Maximization for Large-Scale Cell-Free Massive MIMO Downlink—0
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation—0
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values—0
Value-oriented forecast reconciliation for renewables in electricity markets—0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
Vamsa: Automated Provenance Tracking in Data Science Scripts—0
Variable importance without impossible data—0
Variational Causal Autoencoder for Interventional and Counterfactual Queries—0
VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination—0
Verification of ML Systems via Reparameterization—0
Verifying Global Neural Network Specifications using Hyperproperties—0
Verifying Individual Fairness in Machine Learning Models—0
Vertical Federated Learning: Concepts, Advances and Challenges—0
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations—0
VHELM: A Holistic Evaluation of Vision Language Models—0
VideolandGPT: A User Study on a Conversational Recommender System—0
Visibly Fair Mechanisms—0
Vision Language Models in Medicine—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Vision-Ultrasound Robotic System based on Deep Learning for Gas and Arc Hazard Detection in Manufacturing—0
Visual Analysis of Discrimination in Machine Learning—0
Visualisation and knowledge discovery from interpretable 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