| Debiasing Neural Retrieval via In-batch Balancing Regularization | May 18, 2022 | FairnessInformation Retrieval | —Unverified | 0 |
| Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention | Sep 29, 2021 | FairnessRepresentation Learning | —Unverified | 0 |
| A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications | Dec 5, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation | Aug 24, 2022 | FairnessInformation Retrieval | —Unverified | 0 |
| A Unified Framework for Fair Spectral Clustering With Effective Graph Learning | Nov 23, 2023 | ClusteringFairness | —Unverified | 0 |
| Core-Stable Committees under Restricted Domains | Aug 4, 2021 | Fairness | —Unverified | 0 |
| DECAF: Learning to be Fair in Multi-agent Resource Allocation | Feb 6, 2025 | FairnessQ-Learning | —Unverified | 0 |
| DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models | Mar 25, 2025 | FairnessQuestion Answering | —Unverified | 0 |
| DECASTE: Unveiling Caste Stereotypes in Large Language Models through Multi-Dimensional Bias Analysis | May 20, 2025 | BenchmarkingFairness | —Unverified | 0 |
| Detecting algorithmic bias in medical-AI models using trees | Dec 5, 2023 | Fairness | —Unverified | 0 |
