Fairness

Language Model Tokenizers Introduce Unfairness Between Languages NeurIPS 2023 Layered Bias: Interpreting Bias in Pretrained Large Language Models EMNLP 2023 LEACE: Perfect linear concept erasure in closed form NeurIPS 2023 Learning Antidote Data to Individual Unfairness ICML 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 Learning to Generate an Unbiased Scene Graph by Using Attribute-Guided Predicate Features AAAI 2023 Learning to Generate Equitable Text in Dialogue from Biased Training Data ACL 2023 Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting ICLR 2023 Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation IJCAI 2023 LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023 Literacy and STEM Teachers Adapt AI Ethics Curriculum AAAI 2023 Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023 Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning EACL 2023 Log-linear Guardedness and its Implications ACL 2023 Long-Term Fairness with Unknown Dynamics NeurIPS 2023 Loss Balancing for Fair Supervised Learning ICML 2023 LUCID: Exposing Algorithmic Bias through Inverse Design AAAI 2023 Manifold Restricted Interventional Shapley Values AISTATS 2023 Matrix Estimation for Individual Fairness ICML 2023 Mean Parity Fair Regression in RKHS AISTATS 2023 Measuring bias in Instruction-Following models with P-AT EMNLP 2023 Measuring Consistency in Text-based Financial Forecasting Models ACL 2023 Measuring Gender Bias in West Slavic Language Models EACL 2023 Measuring Intersectional Biases in Historical Documents ACL 2023 Measuring Normative and Descriptive Biases in Language Models Using Census Data EACL 2023