| Current state of LLM Risks and AI Guardrails | Jun 16, 2024 | FairnessRAG | —Unverified | 0 |
| Curse of "Low" Dimensionality in Recommender Systems | May 23, 2023 | DiversityFairness | —Unverified | 0 |
| Counterfactual Fairness for Predictions using Generative Adversarial Networks | Oct 26, 2023 | Attributecounterfactual | —Unverified | 0 |
| Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets | Apr 15, 2025 | counterfactualFairness | —Unverified | 0 |
| A Survey on Fairness in Large Language Models | Aug 20, 2023 | FairnessSurvey | —Unverified | 0 |
| DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation | Apr 22, 2022 | DiversityFairness | —Unverified | 0 |
| Decoupled classifiers for fair and efficient machine learning | Jul 20, 2017 | AttributeBIG-bench Machine Learning | —Unverified | 0 |
| DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning | Oct 30, 2019 | Fairnessreinforcement-learning | —Unverified | 0 |
| ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization | Aug 4, 2022 | FairnessHyperparameter Optimization | —Unverified | 0 |
| AI Ethics Needs Good Data | Feb 15, 2021 | EthicsFairness | —Unverified | 0 |
