SOTAVerified

Fairness

Papers

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Showing 376–400 of 5676 papers

TitleStatusHype
Fundamental Limits of Perfect Concept ErasureCode0
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education—0
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement LearningCode0
Interpretable and Fair Mechanisms for Abstaining ClassifiersCode0
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems—0
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond—0
FROG: Fair Removal on Graphs—0
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation—0
Bandwidth Reservation for Time-Critical Vehicular Applications: A Multi-Operator Environment—0
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring—0
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers—0
Towards LLM Guardrails via Sparse Representation Steering—0
LoGoFair: Post-Processing for Local and Global Fairness in Federated LearningCode0
Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing—0
From Structured Prompts to Open Narratives: Measuring Gender Bias in LLMs Through Open-Ended Storytelling—0
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI—0
Partial Identification in Moment Models with Incomplete Data via Optimal Transport—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer—0
Global Group Fairness in Federated Learning via Function TrackingCode0
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning—0
Are Elites Meritocratic and Efficiency-Seeking? Evidence from MBA Students—0
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation 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