| GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning | Aug 20, 2023 | FairnessFederated Learning | CodeCode Available | 4 |
| Data quality dimensions for fair AI | May 11, 2023 | ClassificationFairness | CodeCode Available | 4 |
| Holistic Evaluation of Language Models | Nov 16, 2022 | FairnessQuestion Answering | CodeCode Available | 4 |
| RecBole 2.0: Towards a More Up-to-Date Recommendation Library | Jun 15, 2022 | BenchmarkingData Augmentation | CodeCode Available | 4 |
| ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models | Apr 19, 2022 | FairnessFew-Shot Image Classification | CodeCode Available | 4 |
| Kubric: A scalable dataset generator | Mar 7, 2022 | FairnessNeRF | CodeCode Available | 4 |
| Fairness Implications of Encoding Protected Categorical Attributes | Jan 27, 2022 | FairnessFeature Engineering | CodeCode Available | 4 |
| AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models | May 22, 2025 | BenchmarkingFairness | CodeCode Available | 3 |
| LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases | Jan 6, 2025 | FairnessLanguage Modeling | CodeCode Available | 3 |
| Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning | Dec 28, 2024 | FairnessFederated Learning | CodeCode Available | 3 |
