bias mitigation

Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation ACL 2025 CultureInstruct: Curating Multi-Cultural Instructions at Scale NAACL 2025 CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models EMNLP 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Debiasify: Self-Distillation for Unsupervised Bias Mitigation WACV 2025 Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings COLING 2025 Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025 Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT ACL 2025 DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models NAACL 2025 Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ACL 2025 Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability CVPR 2025 Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective ICML 2025 Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning EMNLP 2025 Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs EMNLP 2025 Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025 EqualizeIR: Mitigating Linguistic Biases in Retrieval Models NAACL 2025 Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts EMNLP 2025 Exploring and Mitigating Implicit Bias in Large Language Models: A Cross-Domain Evaluation Framework AAAI 2025 Exploring Safety-Utility Trade-Offs in Personalized Language Models NAACL 2025 FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models EMNLP 2025 FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance EMNLP 2025 Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention ICCV 2025 fairGNN-WOD: Fair Graph Learning Without Complete Demographics IJCAI 2025 Fairness Beyond Performance: Revealing Reliability Disparities Across Groups in Legal NLP ACL 2025 Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025