SOTAVerified

Fairness

Papers

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Showing 301–350 of 5676 papers

TitleStatusHype
Multi-Stream Transmission in Cell-Free MIMO Networks with Coherent AP Clustering—0
Diversity-Fair Online Selection—0
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives—0
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training—0
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented GenerationCode0
Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems—0
seeBias: A Comprehensive Tool for Assessing and Visualizing AI FairnessCode0
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered—0
Adaptive Bounded Exploration and Intermediate Actions for Data DebiasingCode0
Model Utility Law: Evaluating LLMs beyond Performance through Mechanism Interpretable MetricCode1
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair—0
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-JudgeCode0
Enhancements for Developing a Comprehensive AI Fairness Assessment Standard—0
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness—0
Trustworthy AI Must Account for Intersectionality—0
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks—0
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-TuningCode0
On the merit principle in strategic exchange—0
Uncovering Fairness through Data Complexity as an Early Indicator—0
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language ModelsCode2
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain—0
From Fairness to Truthfulness: Rethinking Data Valuation Design—0
Advanced Codebook Design for SCMA-aided NTNs With Randomly Distributed UsersCode1
HypRL: Reinforcement Learning of Control Policies for Hyperproperties—0
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions—0
Measuring the right thing: justifying metrics in AI impact assessments—0
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIsCode0
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations—0
Joint Optimization of Uplink and Downlink Power in Full-Duplex Integrated Access and Backhaul—0
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT—0
Understanding EFX Allocations: Counting and Variants—0
Post-processing for Fair Regression via Explainable SVDCode0
Fair and Energy-Efficient Activation Control Mechanisms for Repeater-Assisted Massive MIMO—0
The Limits of "Fairness" of the Variational Generalized Nash Equilibrium—0
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles—0
Reasoning Inconsistencies and How to Mitigate Them in Deep Learning—0
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness—0
LLMs as Deceptive Agents: How Role-Based Prompting Induces Semantic Ambiguity in Puzzle Tasks—0
Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning—0
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume EvaluationsCode0
LITE: LLM-Impelled efficient Taxonomy EvaluationCode0
P2NIA: Privacy-Preserving Non-Iterative Auditing—0
Explainable post-training bias mitigation with distribution-based fairness metrics—0
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting—0
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCode0
Taxonomizing Representational Harms using Speech Act Theory—0
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing—0
Scalable Ride-Sourcing Vehicle Rebalancing with Service Accessibility Guarantee: A Constrained Mean-Field Reinforcement Learning ApproachCode0
BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models—0
The more the merrier: logical and multistage processors in credit scoringCode0
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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