| Political-LLM: Large Language Models in Political Science | Dec 9, 2024 | Causal Inferencecounterfactual | —Unverified | 0 | 0 |
| Political representation bias in DBpedia and Wikidata as a challenge for downstream processing | Dec 29, 2022 | DiversityFairness | —Unverified | 0 | 0 |
| Distribution-Specific Auditing For Subgroup Fairness | Jan 27, 2024 | Fairness | —Unverified | 0 | 0 |
| Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation | May 24, 2018 | BIG-bench Machine LearningCausal Judgment | —Unverified | 0 | 0 |
| Posing Fair Generalization Tasks for Natural Language Inference | Nov 3, 2019 | FairnessNatural Language Inference | —Unverified | 0 | 0 |
| Position: Bayesian Statistics Facilitates Stakeholder Participation in Evaluation of Generative AI | Apr 21, 2025 | Bayesian InferenceDecision Making | —Unverified | 0 | 0 |
| Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models | Feb 2, 2024 | Data AugmentationFairness | —Unverified | 0 | 0 |
| Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains | Sep 30, 2024 | AttributeFairness | —Unverified | 0 | 0 |
| Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing | May 28, 2024 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation | Oct 7, 2024 | Fairness | —Unverified | 0 | 0 |
