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Young Jin Kim

Microsoft

17 papers hereh-index 184.9k citations31 works total

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

author position
  • first author5
  • middle author9
  • last author1

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.LG3
affiliations
  • Microsoft
same name
  • Young Jin Kim — 5 papers, h 5
  • Young Jin Kim — 3 papers, h 9
  • Young Jin Kim — 2 papers, h 3
  • Young Jin Kim — 2 papers, h 1
  • Young Jin Kim — 1 paper
  • Young Jin Kim — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedHow Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

192 citations · 488 across the 17 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.CL2020★ 1 cited

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding

Young Jin Kim, Hany Hassan Awadalla

Transformer-based models are the state-of-the-art for Natural Language Understanding (NLU) applications. Models are getting bigger and better on various tasks. However, Transformer…

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