Very interesting to see your mention regarding the more pronounced gender bias toward generating male historical figures.
In the above-linked work, I show how time and gender are, in fact, correlated in LLMs (ranging from BERT to GPT-4 (preview) Turbo), with a proposed causal relationship described in the work. I look forward to reading your piece on “Where are all the women?” to see if you have similar findings.
Excellent article, Yennie!
This is a fantastic overview! I wish I could have read it before concluding my recent (independent) research in this area:
https://ojs.aaai.org/index.php/AAAI/article/view/29842
Very interesting to see your mention regarding the more pronounced gender bias toward generating male historical figures.
In the above-linked work, I show how time and gender are, in fact, correlated in LLMs (ranging from BERT to GPT-4 (preview) Turbo), with a proposed causal relationship described in the work. I look forward to reading your piece on “Where are all the women?” to see if you have similar findings.
Sorry, realized the GPT-4 results were updated in arxiv only: https://arxiv.org/abs/2210.00131