Fairness

Utility-Fairness Trade-Offs and How to Find Them CVPR 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024 VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models ACL 2024 ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models ACL 2024 Variationist: Exploring Multifaceted Variation and Bias in Written Language Data ACL 2024 Visual Data Diagnosis and Debiasing with Concept Graphs NeurIPS 2024 Voice Quality Variation in AAE: An Additional Challenge for Addressing Bias in ASR Models? Interspeech 2024 VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States IJCAI 2024 Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024 Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models ACL 2024 WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions EMNLP 2024 What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction ACL 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 What Does Perspectivism Mean? An Ethical and Methodological Countercriticism COLING 2024 What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? COLING 2024 What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning IJCAI 2024 What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations EMNLP 2024 What is the social benefit of hate speech detection research? A Systematic Review EMNLP 2024 What Sketch Explainability Really Means for Downstream Tasks? CVPR 2024 What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study EMNLP 2024 When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks IJCAI 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness NAACL 2024 Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback ACL 2024