2025
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
NeurIPS 2025poster
Pre-training large language models (LLMs) on vast text corpora enhances natural language processing capabilities but risks encoding social biases, particularly gender bias. While parameter-modification methods like fine-tuning mitigate bias, they are resource-intensive, unsuitable for closed-source…