| Finite-Sample and Distribution-Free Fair Classification: Optimal Trade-off Between Excess Risk and Fairness, and the Cost of Group-Blindness | Oct 21, 2024 | Binary ClassificationDecision Making | —Unverified | 0 |
| Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation | Oct 21, 2024 | Fairness | —Unverified | 0 |
| Fairness Evaluation with Item Response Theory | Oct 20, 2024 | Fairness | —Unverified | 0 |
| Ethical AI in Retail: Consumer Privacy and Fairness | Oct 20, 2024 | DescriptiveFairness | —Unverified | 0 |
| CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges | Oct 20, 2024 | FairnessPrediction | CodeCode Available | 0 |
| Data Augmentation via Diffusion Model to Enhance AI Fairness | Oct 20, 2024 | Binary ClassificationData Augmentation | —Unverified | 0 |
| Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game | Oct 20, 2024 | Decision MakingDiversity | —Unverified | 0 |
| A Semidefinite Relaxation Approach for Fair Graph Clustering | Oct 19, 2024 | ClusteringFairness | CodeCode Available | 0 |
| Text-to-Image Representativity Fairness Evaluation Framework | Oct 18, 2024 | Continual LearningFairness | —Unverified | 0 |
| LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs | Oct 18, 2024 | BenchmarkingFairness | —Unverified | 0 |
