SOTAVerified

Fairness

Papers

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Showing 1701–1750 of 5676 papers

TitleStatusHype
Pareto-Optimal Learning from Preferences with Hidden Context—0
Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study—0
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
A Unified Framework for Input Feature Attribution Analysis—0
I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education—0
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services—0
Fair Streaming Feature Selection—0
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models—0
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs—0
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainabilityCode0
Active Learning for Fair and Stable Online Allocations—0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive AttributesCode0
On the Consistency of Fairness Measurement Methods for Regression Tasks—0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery MethodsCode0
The Benefits and Risks of Transductive Approaches for AI Fairness—0
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
Transparency, Privacy, and Fairness in Recommender Systems—0
Grade Score: Quantifying LLM Performance in Option SelectionCode0
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives—0
Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks—0
Current state of LLM Risks and AI Guardrails—0
Justice in Healthcare Artificial Intelligence in Africa—0
Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science ExamCode0
Disentangling Dialect from Social Bias via Multitask Learning to Improve FairnessCode0
FairCoT: Enhancing Fairness in Diffusion Models via Chain of Thought Reasoning of Multimodal Language Models—0
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior—0
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading—0
FADE: Towards Fairness-aware Augmentation for Domain Generalization via Classifier-Guided Score-based Diffusion Models—0
What is Fair? Defining Fairness in Machine Learning for HealthCode0
The World Wide recipe: A community-centred framework for fine-grained data collection and regional bias operationalisationCode0
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms—0
AIM: Attributing, Interpreting, Mitigating Data UnfairnessCode0
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free AlgorithmCode0
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeCode0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction—0
A Sociotechnical Lens for Evaluating Computer Vision Models: A Case Study on Detecting and Reasoning about Gender and Emotion—0
Test-Time Fairness and Robustness in Large Language Models—0
Fast solution to the fair ranking problem using the Sinkhorn algorithm—0
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models—0
Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices—0
Fairness-Aware Meta-Learning via Nash Bargaining—0
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges—0
Enrolment-based personalisation for improving individual-level fairness in speech emotion 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