| Benchmarking Intersectional Biases in NLP | Jul 1, 2022 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 0 |
| You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time | Mar 10, 2025 | Fairness | CodeCode Available | 0 |
| Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness | May 12, 2025 | Fairness | CodeCode Available | 0 |
| Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning | Oct 9, 2024 | BenchmarkingFairness | CodeCode Available | 0 |
| Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge | Apr 10, 2025 | Adversarial RobustnessBenchmarking | CodeCode Available | 0 |
| Fairness in Recommender Systems: Research Landscape and Future Directions | May 23, 2022 | FairnessRecommendation Systems | CodeCode Available | 0 |
| Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation | Nov 26, 2019 | Activity RecognitionAttribute | CodeCode Available | 0 |
| LIMEcraft: Handcrafted superpixel selection and inspection for Visual eXplanations | Nov 15, 2021 | FairnessPrediction | CodeCode Available | 0 |
| Size-adaptive Hypothesis Testing for Fairness | Jun 12, 2025 | Fairness | CodeCode Available | 0 |
| Superhuman Fairness | Jan 31, 2023 | FairnessImitation Learning | CodeCode Available | 0 |
