| AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs | Mar 1, 2024 | FairnessLanguage Modeling | —Unverified | 0 |
| CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits | Aug 15, 2022 | FairnessManagement | —Unverified | 0 |
| A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions | Sep 24, 2024 | FairnessSurvey | —Unverified | 0 |
| A Canonical Data Transformation for Achieving Inter- and Within-group Fairness | Oct 23, 2023 | Fairness | —Unverified | 0 |
| Rate-Splitting Multiple Access: The First Prototype and Experimental Validation of its Superiority over SDMA and NOMA | May 12, 2023 | Fairness | —Unverified | 0 |
| Coping with Mistreatment in Fair Algorithms | Feb 22, 2021 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness | Nov 10, 2022 | Fairness | —Unverified | 0 |
| CAT: Controllable Attribute Translation for Fair Facial Attribute Classification | Sep 14, 2022 | AttributeClassification | —Unverified | 0 |
| Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces | Aug 17, 2023 | Adversarial RobustnessFairness | —Unverified | 0 |
| Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks | May 19, 2025 | Fairness | —Unverified | 0 |
