Fairness

ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024 Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users CVPR 2024 Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis NAACL 2024 Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4 NAACL 2024 Exploring the Emotional Dimension of French Online Toxic Content COLING 2024 Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis EMNLP 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 Fair Abstractive Summarization of Diverse Perspectives NAACL 2024 Fair Active Learning in Low-Data Regimes UAI 2024 Fair Allocation in Dynamic Mechanism Design NeurIPS 2024 Fair Allocation of Items in Multiple Regions AAAI 2024 Fair and Efficient Chore Allocation: Existence and Computation IJCAI 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024 Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium NeurIPS 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication CVPR 2024 FairEHR-CLP: Towards Fairness-Aware Clinical Predictions with Contrastive Learning in Multimodal Electronic Health Records MLHC 2024 FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs ICLR 2024 Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024 Fair Federated Learning with Biased Vision-Language Models ACL 2024