most citedBAD: BiAs Detection for Large Language Models in the context of candidate screening

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2023

NLP Reproducibility For All: Understanding Experiences of Beginners

Shane Storks, Keunwoo Peter Yu, Ziqiao Ma +1

As natural language processing (NLP) has recently seen an unprecedented level of excitement, and more people are eager to enter the field, it is unclear whether current research re…

cs.CL2023★ 2 cited

BAD: BiAs Detection for Large Language Models in the context of candidate screening

Nam Ho Koh, Joseph Plata, Joyce Chai

Application Tracking Systems (ATS) have allowed talent managers, recruiters, and college admissions committees to process large volumes of potential candidate applications efficien…