bias mitigation

Power(ful) Associations: Rethinking “Stereotype” for NLP ACL 2025 PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection ICCV 2025 Privacy Preserving Data Selection for Bias Mitigation in Speech Models ACL 2025 Quantifying Cognitive Bias Induction in LLM-Generated Content IJCNLP 2025 RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025 Reading Between the Prompts: How Stereotypes Shape LLM’s Implicit Personalization EMNLP 2025 REFER: Mitigating Bias in Opinion Summarisation via Frequency Framed Prompting EMNLP 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 SafetyPrompts: A Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety AAAI 2025 SEBRA : Debiasing through Self-Guided Bias Ranking ICLR 2025 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025 ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models IJCAI 2025 Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text EMNLP 2025 Social Bias Evaluation for Large Language Models Requires Prompt Variations EMNLP 2025 Social Bias in Multilingual Language Models: A Survey EMNLP 2025 Subgroups Matter for Robust Bias Mitigation ICML 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus ICCV 2025 The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing ACL 2025 The Mainstays of Trustworthy Machine Learning AAAI 2025 The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects ACL 2025 The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models EMNLP 2025 Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations AAAI 2025 Towards Fairness with Limited Demographics via Disentangled Learning IJCAI 2025 Towards Reward Fairness in RLHF: From a Resource Allocation Perspective ACL 2025