| An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness | Sep 29, 2021 | Adversarial RobustnessFairness | —Unverified | 0 |
| An Empirical Investigation of Learning from Biased Toxicity Labels | Oct 4, 2021 | Fairness | —Unverified | 0 |
| BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models | Mar 31, 2025 | EthicsFairness | —Unverified | 0 |
| Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals | May 17, 2025 | Attributecounterfactual | —Unverified | 0 |
| BenchmarkCards: Large Language Model and Risk Reporting | Oct 16, 2024 | FairnessLanguage Modeling | —Unverified | 0 |
| Best Arm Identification with Fairness Constraints on Subpopulations | Apr 8, 2023 | Fairness | —Unverified | 0 |
| A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning | Apr 20, 2022 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Bayesian Neural Networks with Domain Knowledge Priors | Feb 20, 2024 | FairnessVariational Inference | —Unverified | 0 |
| An Empirical Analysis of Fairness Notions under Differential Privacy | Feb 6, 2023 | Fairness | —Unverified | 0 |
| An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret | Sep 23, 2022 | 2kFairness | —Unverified | 0 |
