| Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis | Jul 4, 2023 | AttributeFairness | —Unverified | 0 |
| Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding | Feb 3, 2025 | AttributeMME | —Unverified | 0 |
| Mitigating Health Disparities in EHR via Deconfounder | Oct 28, 2022 | AttributeDecision Making | —Unverified | 0 |
| Mitigating Nonlinear Algorithmic Bias in Binary Classification | Dec 9, 2023 | AttributeBinary Classification | —Unverified | 0 |
| Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration | Feb 4, 2025 | AttributeHallucination | —Unverified | 0 |
| Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning | Apr 8, 2023 | Attribute | —Unverified | 0 |
| Mitigating the Impact of Attribute Editing on Face Recognition | Mar 12, 2024 | AttributeFace Recognition | —Unverified | 0 |
| Mitigating Voter Attribute Bias for Fair Opinion Aggregation | Jul 20, 2023 | AttributeDecision Making | —Unverified | 0 |
| Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models | Nov 16, 2021 | AttributeLanguage Modeling | —Unverified | 0 |
| Mix and Match: Learning-free Controllable Text Generation using Energy Language Models | Jan 16, 2022 | AttributeLanguage Modeling | —Unverified | 0 |
