32 citations · 36 across the 3 of their papers we have counts for
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cs.CL2024
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs
Marion Bartl, Susan Leavy
Gender bias is not only prevalent in Large Language Models (LLMs) and their training data, but also firmly ingrained into the structural aspects of language itself. Therefore, adap…
cs.CL2022★ 4 cited
Towards Lexical Gender Inference: A Scalable Methodology using Online Databases
Marion Bartl, Susan Leavy
This paper presents a new method for automatically detecting words with lexical gender in large-scale language datasets. Currently, the evaluation of gender bias in natural languag…