| Fairness Evaluation with Item Response Theory | Oct 20, 2024 | Fairness | —Unverified | 0 |
| CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges | Oct 20, 2024 | FairnessPrediction | CodeCode Available | 0 |
| Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game | Oct 20, 2024 | Decision MakingDiversity | —Unverified | 0 |
| Data Augmentation via Diffusion Model to Enhance AI Fairness | Oct 20, 2024 | Binary ClassificationData Augmentation | —Unverified | 0 |
| Ethical AI in Retail: Consumer Privacy and Fairness | Oct 20, 2024 | DescriptiveFairness | —Unverified | 0 |
| A Semidefinite Relaxation Approach for Fair Graph Clustering | Oct 19, 2024 | ClusteringFairness | CodeCode Available | 0 |
| Cooperation and Fairness in Multi-Agent Reinforcement Learning | Oct 19, 2024 | FairnessMulti-agent Reinforcement Learning | CodeCode Available | 1 |
| Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models | Oct 18, 2024 | FairnessMultiple-choice | —Unverified | 0 |
| LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs | Oct 18, 2024 | BenchmarkingFairness | —Unverified | 0 |
| Text-to-Image Representativity Fairness Evaluation Framework | Oct 18, 2024 | Continual LearningFairness | —Unverified | 0 |
