bias mitigation

LLM Bias Detection and Mitigation through the Lens of Desired Distributions EMNLP 2025 LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs NAACL 2025 MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge AAAI 2025 MAVias: Mitigate any Visual Bias ICCV 2025 Measuring and Mitigating Media Outlet Name Bias in Large Language Models EMNLP 2025 MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks MLHC 2025 Minimal, Local, and Robust: Embedding-Only Edits for Implicit Bias in T2I Models EMNLP 2025 Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models EMNLP 2025 Mitigating Biases in Language Models via Bias Unlearning EMNLP 2025 Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration NAACL 2025 Mitigating Bias in Item Retrieval for Enhancing Exam Assembly in Vocational Education Services NAACL 2025 Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025 Mitigating Bias in RAG: Controlling the Embedder ACL 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025 MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion IJCNLP 2025 Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation ACL 2025 Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025 Navigating the Cultural Kaleidoscope: A Hitchhiker’s Guide to Sensitivity in Large Language Models NAACL 2025 NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration IJCAI 2025 NLP for Counterspeech against Hate and Misinformation (CSHAM) ACL 2025 Observing Micromotives and Macrobehavior of Large Language Models IJCNLP 2025 Open-DeBias: Toward Mitigating Open-Set Bias in Language Models EMNLP 2025 Open-Unfairness Adversarial Mitigation for Generalized Deepfake Detection ICCV 2025 Option Symbol Matters: Investigating and Mitigating Multiple-Choice Option Symbol Bias of Large Language Models NAACL 2025