bias mitigation

Ethos: Rectifying Language Models in Orthogonal Parameter Space NAACL 2024 Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis EMNLP 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FairJob: A Real-World Dataset for Fairness in Online Systems NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions ICML 2024 From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space AAAI 2024 From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text Transformations IJCAI 2024 From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs ACL 2024 GIL-GALaD: Gender Inclusive Language - German Auto-Assembled Large Database COLING 2024 Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024 Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection ACL 2024 Hybrid Sample Synthesis-Based Debiasing of Classifier in Limited Data Setting WACV 2024 Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective EMNLP 2024 Imposing Fairness Constraints in Synthetic Data Generation AISTATS 2024 Improving Fairness in Deepfake Detection WACV 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024 Interactive Human-Centric Bias Mitigation AAAI 2024 Intersectionality in AI Safety: Using Multilevel Models to Understand Diverse Perceptions of Safety in Conversational AI COLING 2024 Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases EMNLP 2024 Language Bias in Multilingual Information Retrieval: The Nature of the Beast and Mitigation Methods EMNLP 2024 Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination ACL 2024