SOTAVerified

Fairness

Papers

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Showing 551–575 of 5676 papers

TitleStatusHype
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom DialoguesCode0
AI Agent Behavioral Science—0
Crowd-SFT: Crowdsourcing for LLM Alignment—0
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness—0
A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings—0
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review—0
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling—0
Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC—0
Stochastically Dominant Peer Prediction—0
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice—0
AI Data Development: A Scorecard for the System Card Framework—0
Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling—0
A Reinforcement Learning Approach for RIS-aided Fair Communications—0
The Disparate Effects of Partial Information in Bayesian Strategic Learning—0
A note on the Diversity Owen values—0
Balancing Profit and Fairness in Risk-Based Pricing Markets—0
Online Fair Division with Additional Information—0
On Fairness of Task Arithmetic: The Role of Task Vectors—0
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM EvaluationCode0
A Computational Approach to Improving Fairness in K-means Clustering—0
BIRD: Behavior Induction via Representation-structure Distillation—0
Identity resolution of software metadata using Large Language Models—0
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMsCode0
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images—0
TRACE: Trajectory-Constrained Concept Erasure in Diffusion 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