3 papers
cs.CL2025
Gender Encoding Patterns in Pretrained Language Model Representations
Mahdi Zakizadeh, Mohammad Taher Pilehvar
Gender bias in pretrained language models (PLMs) poses significant social and ethical challenges. Despite growing awareness, there is a lack of comprehensive investigation into how…
cs.CL2025
Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets
Mahdi Zakizadeh, Mohammad Taher Pilehvar
Accurately measuring gender stereotypical bias in language models is a complex task with many hidden aspects. Current benchmarks have underestimated this multifaceted challenge and…
cs.CL2023
DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar
Numerous debiasing techniques have been proposed to mitigate the gender bias that is prevalent in pretrained language models. These are often evaluated on datasets that check the e…