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Fairness

Papers

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Showing 1301–1350 of 5676 papers

TitleStatusHype
Fairness and Bias in Multimodal AI: A Survey—0
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing—0
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness—0
X-ray Made Simple: Lay Radiology Report Generation and Robust EvaluationCode0
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and PromptsCode0
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems—0
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions—0
Mind the Graph When Balancing Data for Fairness or Robustness—0
Achieving Fairness Across Local and Global Models in Federated Learning—0
Addressing Polarization and Unfairness in Performative Prediction—0
Toward Fairer Face Recognition Datasets—0
Hacking a surrogate model approach to XAI—0
Efficient k-means with Individual Fairness via Exponential Tilting—0
Cherry on the Cake: Fairness is NOT an Optimization Problem—0
Inducing Group Fairness in Prompt-Based Language Model Decisions—0
Semi-Variance Reduction for Fair Federated Learning—0
Fair Clustering: Critique, Caveats, and Future Directions—0
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices—0
Pareto-Optimal Learning from Preferences with Hidden Context—0
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation LearningCode2
MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K TokensCode1
I don't trust you (anymore)! -- The effect of students' LLM use on Lecturer-Student-Trust in Higher Education—0
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness—0
A Unified Framework for Input Feature Attribution Analysis—0
Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study—0
Active Learning for Fair and Stable Online Allocations—0
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models—0
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs—0
Watching the Watchers: A Comparative Fairness Audit of Cloud-based Content Moderation Services—0
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainabilityCode0
Fair Streaming Feature Selection—0
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive AttributesCode0
On the Consistency of Fairness Measurement Methods for Regression Tasks—0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations—0
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation—0
AITTI: Learning Adaptive Inclusive Token for Text-to-Image GenerationCode1
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language ModelsCode1
The Benefits and Risks of Transductive Approaches for AI Fairness—0
Transparency, Privacy, and Fairness in Recommender Systems—0
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery MethodsCode0
Grade Score: Quantifying LLM Performance in Option SelectionCode0
Fairer Preferences Elicit Improved Human-Aligned Large Language Model JudgmentsCode1
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias—0
Current state of LLM Risks and AI Guardrails—0
Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks—0
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives—0
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding GraphCode3
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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