| Process-Supervised LLM Recommenders via Flow-guided Tuning | Mar 10, 2025 | DiversityFairness | CodeCode Available | 1 | 5 |
| Promoting Fairness through Hyperparameter Optimization | Mar 23, 2021 | FairnessFraud Detection | CodeCode Available | 1 | 5 |
| Rule Generation for Classification: Scalability, Interpretability, and Fairness | Apr 21, 2021 | ClassificationFairness | CodeCode Available | 1 | 5 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 | 5 |
| DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers | Sep 21, 2021 | FairnessModel Compression | CodeCode Available | 1 | 5 |
| Quality-Diversity Generative Sampling for Learning with Synthetic Data | Dec 22, 2023 | DiversityFairness | CodeCode Available | 1 | 5 |
| CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence | Aug 26, 2024 | FairnessMachine Unlearning | CodeCode Available | 1 | 5 |
| Re-contextualizing Fairness in NLP: The Case of India | Sep 25, 2022 | Fairness | CodeCode Available | 1 | 5 |
| CrossWalk: Fairness-enhanced Node Representation Learning | May 6, 2021 | FairnessLink Prediction | CodeCode Available | 1 | 5 |
| ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models | Jul 7, 2024 | FairnessGeneral Knowledge | CodeCode Available | 1 | 5 |
