| Retrofitting Large Language Models with Dynamic Tokenization | Nov 27, 2024 | DecoderFairness | —Unverified | 0 | 0 |
| Revealing Hidden Bias in AI: Lessons from Large Language Models | Oct 22, 2024 | Fairness | —Unverified | 0 | 0 |
| Review of Demographic Fairness in Face Recognition | Feb 4, 2025 | Face RecognitionFairness | —Unverified | 0 | 0 |
| Review of Mathematical frameworks for Fairness in Machine Learning | May 26, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 | 0 |
| Revisit, Extend, and Enhance Hessian-Free Influence Functions | May 25, 2024 | FairnessLanguage Modelling | —Unverified | 0 | 0 |
| Discriminative Entropy Clustering and its Relation to K-means and SVM | Jan 26, 2023 | ClusteringDeep Clustering | —Unverified | 0 | 0 |
| Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction | Jan 1, 2025 | FairnessMulti-Task Learning | —Unverified | 0 | 0 |
| Revisiting Priority k-Center: Fairness and Outliers | Mar 4, 2021 | ClusteringFairness | —Unverified | 0 | 0 |
| Revisiting Technical Bias Mitigation Strategies | Oct 22, 2024 | Fairness | —Unverified | 0 | 0 |
| Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses | Feb 14, 2025 | counterfactualFairness | —Unverified | 0 | 0 |
