Fairness

The Impact of Differential Privacy on Group Disparity Mitigation NAACL 2024 The Impact of Features Used by Algorithms on Perceptions of Fairness IJCAI 2024 The influence of L2 accent strength and different error types on personality trait ratings Interspeech 2024 The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead? EMNLP 2024 The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification EMNLP 2024 Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NeurIPS 2024 The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels NAACL 2024 The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ACL 2024 The Rise of AI-Generated Content in Wikipedia EMNLP 2024 The Risks of Recourse in Binary Classification AISTATS 2024 The SlayQA benchmark of social reasoning: testing gender-inclusive generalization with neopronouns EMNLP 2024 The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification NAACL 2024 The Uli Dataset: An Exercise in Experience Led Annotation of oGBV NAACL 2024 Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks NAACL 2024 “Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024 Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models EACL 2024 To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation NeurIPS 2024 Topic Bias in Emotion Classification EACL 2024 To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models AISTATS 2024 TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning NeurIPS 2024 Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NeurIPS 2024 Towards a Complete Benchmark on Video Moment Localization AISTATS 2024 Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data COLING 2024 Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments IJCAI 2024