← Application Areas
Machine Learning › Application Areas ›

Fairness

3337 directly classified papers

Papers per year

Papers

What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study EMNLP 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models EMNLP 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024
FedLF: Layer-Wise Fair Federated Learning AAAI 2024
How Susceptible are Large Language Models to Ideological Manipulation? EMNLP 2024
Refine and Redistribute: Multi-Domain Fusion and Dynamic Label Assignment for Unbiased Scene Graph Generation WACV 2024
Evaluating Large Language Models for Health-related Queries with Presuppositions ACL 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024
Data Contamination Can Cross Language Barriers EMNLP 2024
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability EMNLP 2024
Debiasing Large Language Models with Structured Knowledge ACL 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision AAAI 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said ACL 2024
Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024
Investigating Data Contamination in Modern Benchmarks for Large Language Models NAACL 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024
A Sequentially Fair Mechanism for Multiple Sensitive Attributes AAAI 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NIPS 2024
Error Analysis of NLP Models and Non-Native Speakers of English Identifying Sarcasm in Reddit Comments COLING 2024
Hate Personified: Investigating the role of LLMs in content moderation EMNLP 2024
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NIPS 2024
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations AAAI 2024