Fairness

Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset COLING 2024 Unprocessing Seven Years of Algorithmic Fairness ICLR 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability AAAI 2024 Using Discourse Connectives to Test Genre Bias in Masked Language Models EACL 2024 Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties AAAI 2024 ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation ACL 2024 Voices in a Crowd: Searching for clusters of unique perspectives EMNLP 2024 Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024 What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations EMNLP 2024 What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study EMNLP 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models EMNLP 2024 Whose Emotions and Moral Sentiments do Language Models Reflect? ACL 2024 Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback ACL 2024 Why Don’t Prompt-Based Fairness Metrics Correlate? ACL 2024 “You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations EMNLP 2024 A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models ACL 2023 ADEPT: A DEbiasing PrompT Framework AAAI 2023 Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 A Multi-dimensional study on Bias in Vision-Language models ACL 2023 A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023 Analyzing Bias in Large Language Model Solutions for Assisted Writing Feedback Tools: Lessons from the Feedback Prize Competition Series ACL 2023