Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis
Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information
(2025)
Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...
DOAJ
Open Access (DOAJ)
DOI:
10.3390/info16050358