bias mitigation

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NeurIPS 2024 Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions COLING 2024 Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024 Zero-Shot Robustification of Zero-Shot Models ICLR 2024 Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models IJCAI 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023 A Simple, Yet Effective Approach to Finding Biases in Code Generation ACL 2023 Assessing and Enforcing Fairness in the AI Lifecycle IJCAI 2023 A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges IJCAI 2023 A Weakly Supervised Classifier and Dataset of White Supremacist Language ACL 2023 Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language EMNLP 2023 Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023 Bias On Demand: Investigating Bias with a Synthetic Data Generator IJCAI 2023 BLIND: Bias Removal With No Demographics ACL 2023 CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023 Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning EMNLP 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023 COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023 Conceptor-Aided Debiasing of Large Language Models EMNLP 2023 ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023