Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis
- DOI
- 10.3390/info16050358
- Published
- 2025-04-29
- Container
- Information
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/info16050358,
title = {Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis},
author = {Imran Mirza and Akbar Anbar Jafari and Cagri Ozcinar and Gholamreza Anbarjafari},
year = {2025},
journal = {Information},
doi = {10.3390/info16050358},
url = {https://doi.org/10.3390/info16050358}
}RIS
TY - JOUR TI - Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis AU - Imran Mirza AU - Akbar Anbar Jafari AU - Cagri Ozcinar AU - Gholamreza Anbarjafari PY - 2025 JO - Information DO - 10.3390/info16050358 UR - https://doi.org/10.3390/info16050358 ER -
APA
Mirza, I., Jafari, A. A., Ozcinar, C., & Anbarjafari, G. (2025). Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis. Information. https://doi.org/10.3390/info16050358
Source records
- crossref · retrieved 2026-09-25T01:03:38.812Z