Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models
- DOI
- 10.48550/arxiv.2504.07787
- Published
- 2025
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2504.07787,
title = {Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models},
author = {Xiao, Yisong and Liu, Aishan and Liang, Siyuan and Liu, Xianglong and Tao, Dacheng},
year = {2025},
doi = {10.48550/arxiv.2504.07787},
url = {https://doi.org/10.48550/arxiv.2504.07787}
}RIS
TY - JOUR TI - Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models AU - Xiao, Yisong AU - Liu, Aishan AU - Liang, Siyuan AU - Liu, Xianglong AU - Tao, Dacheng PY - 2025 DO - 10.48550/arxiv.2504.07787 UR - https://doi.org/10.48550/arxiv.2504.07787 ER -
APA
Yisong, X., Aishan, L., Siyuan, L., Xianglong, L., & Dacheng, T. (2025). Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. https://doi.org/10.48550/arxiv.2504.07787
Source records
- datacite · retrieved 2026-09-25T22:22:28.942Z