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N. Koh

2 papers hereh-index 324 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2

identity via Semantic Scholar / OpenAlex

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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

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…

cs.CL2023

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models

Oana Ignat, Zhijing Jin, Artem Abzaliev +19

Recent progress in large language models (LLMs) has enabled the deployment of many generative NLP applications. At the same time, it has also led to a misleading public discourse t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.