2025
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
EMNLP 2025
Large Language Models (LLMs) have achieved remarkable success on question answering (QA) tasks, yet they often encode harmful biases that compromise fairness and trustworthiness. Most existing bias mitigation approaches are restricted to predefined categories, limiting their ability to address novel