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Fairness

1,193 papers

Papers per year

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Papers

Are Pretrained Multilingual Models Equally Fair across Languages? COLING 2022
Measuring Robustness for NLP COLING 2022
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions COLING 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022
Geographic Citation Gaps in NLP Research EMNLP 2022
The (Undesired) Attenuation of Human Biases by Multilinguality EMNLP 2022
Gendered Mental Health Stigma in Masked Language Models EMNLP 2022
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques EMNLP 2022
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection EMNLP 2022
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation EMNLP 2022
Should We Ban English NLP for a Year? EMNLP 2022
Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection EMNLP 2022
“I’m sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset EMNLP 2022
Perturbation Augmentation for Fairer NLP EMNLP 2022
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention EMNLP 2022
MABEL: Attenuating Gender Bias using Textual Entailment Data EMNLP 2022
Balancing out Bias: Achieving Fairness Through Balanced Training EMNLP 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers EMNLP 2022
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models EMNLP 2022
Contextualizing Language Models for Norms Diverging from Social Majority EMNLP 2022
Controlling Bias Exposure for Fair Interpretable Predictions EMNLP 2022
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts EMNLP 2022
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView EMNLP 2022