--- title: "Naver — research, people and papers" description: "Naver (Seongnam-si, South Korea): 7 works on the Elamur Research site, 10 people with a page, 10 725 citations; its topics, units and the institutions it…" canonical: "https://research.elamur.ai/free/en/companies/naver/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/naver/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / Naver # Naver Company [Seongnam-si](https://md.research.elamur.ai/free/en/agglomerations/seoul/), South Koreain the agglomeration of [Seoul](https://md.research.elamur.ai/free/en/agglomerations/seoul/) - [Website](https://www.navercorp.com) - [ROR](https://ror.org/04nzrnx83) - [OpenAlex](https://openalex.org/I60922564) [**7** works in our library](https://md.research.elamur.ai/free/en/companies/naver/#works) · [**10** authors with a page](https://md.research.elamur.ai/free/en/companies/naver/#authors) · [**10 725** citations of these works](https://md.research.elamur.ai/free/en/companies/naver/#works) · [**1 945** citations in our library](https://md.research.elamur.ai/free/en/companies/naver/#works) ## People (10) Authors with a page here who worked or studied at Naver, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations. - [Sungdong Kim](https://md.research.elamur.ai/free/en/authors/sungdong-kim/) — 2019–2024 on 17 papers · 3 papers here · 9 261 citations - [Wonseok Hwang](https://md.research.elamur.ai/free/en/authors/wonseok-hwang/) — 2019–2021 on 4 papers · 2 papers here · 866 citations - [Jamin Shin](https://md.research.elamur.ai/free/en/authors/jamin-shin/) — 2023–2024 on 7 papers · 4 papers here · 1 512 citations - [Sangdoo Yun](https://md.research.elamur.ai/free/en/authors/sangdoo-yun/) — current · 2017–2026 on 78 papers · 2 papers here · 948 citations - [Sang-Woo Lee](https://md.research.elamur.ai/free/en/authors/sang-woo-lee/) — 2015–2023 on 16 papers · 2 papers here · 988 citations - [Kang Min Yoo](https://md.research.elamur.ai/free/en/authors/kang-min-yoo/) — 2021–2023 on 8 papers · 2 papers here · 765 citations - [Hwaran Lee](https://md.research.elamur.ai/free/en/authors/hwaran-lee/) — 2020–2025 on 19 papers · 2 papers here · 919 citations - [Seungone Kim](https://md.research.elamur.ai/free/en/authors/seungone-kim/) — 2023–2024 on 3 papers · 2 papers here · 1 050 citations - [Sohee Yang](https://md.research.elamur.ai/free/en/authors/sohee-yang/) — 2019–2021 on 4 papers · 2 papers here · 442 citations - [Laurent Besacier](https://md.research.elamur.ai/free/en/authors/laurent-besacier/) — current · 2020–2026 on 14 papers · 2 papers here · 815 citations **Also published with this affiliation (7)** Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work. - [Minjoon Seo](https://md.research.elamur.ai/free/en/authors/minjoon-seo/) — 2019–2023 on 8 papers · 8 papers here · 4 610 citations - [Taeuk Kim](https://md.research.elamur.ai/free/en/authors/taeuk-kim/) — 2021 on 2 papers · 2 papers here · 452 citations - [Germán Kruszewski](https://md.research.elamur.ai/free/en/authors/german-kruszewski/) — 2020–2021 on 3 papers · 4 papers here · 5 198 citations - [Andrea Vedaldi](https://md.research.elamur.ai/free/en/authors/andrea-vedaldi/) — 2017 on 2 papers · 2 papers here · 1 823 citations - [Hady Elsahar](https://md.research.elamur.ai/free/en/authors/hady-elsahar/) — 2019–2021 on 4 papers · 3 papers here · 859 citations - [Marc Dymetman](https://md.research.elamur.ai/free/en/authors/marc-dymetman/) — 2019–2021 on 5 papers · 2 papers here · 521 citations - [Alireza Mohammadshahi](https://md.research.elamur.ai/free/en/authors/alireza-mohammadshahi/) — 2022 on 2 papers · 3 papers here · 100 citations ## Works in our library (7) The most cited first (OpenAlex citations plus our library's). - [BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) — Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al. · 2019 · 8 281 citations - [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/) — Wonjae Kim, Bokyung Son, Ildoo Kim · 2021 · 762 citations - [OCR-free Document Understanding Transformer](https://md.research.elamur.ai/free/en/papers/kim-2021-ocr-free-document-understanding-transformer/) — Geewook Kim, Teakgyu Hong, Moonbin Yim, et al. · 2021 · 580 citations - [Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/) — Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al. · 2020 · 333 citations - [Efficient Dialogue State Tracking by Selectively Overwriting Memory](https://md.research.elamur.ai/free/en/papers/kim-2020-efficient-dialogue-state-tracking-selectively/) — Sungdong Kim, Sohee Yang, Gyuwan Kim, et al. · 2020 · 268 citations - [GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation](https://md.research.elamur.ai/free/en/papers/yoo-2021-gpt3mix-leveraging-large-scale-language/) — Kang Min Yoo, Dongju Park, Jaewook Kang, et al. · 2021 · 267 citations - [Self-Guided Contrastive Learning for BERT Sentence Representations](https://md.research.elamur.ai/free/en/papers/kim-2021-self-guided-contrastive-learning-bert/) — Taeuk Kim, Kang Min Yoo, Sang-goo Lee · 2021 · 234 citations ## Topics What its works here are about; the number is its works on the topic. [🧠 Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) · [🔁 Machine translation 1](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [🗨️ Dialogue systems 1](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [🌱 Low-resource languages 1](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [🖼️ Vision & language 1](https://md.research.elamur.ai/free/en/topics/multimodal/) Fields: [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (4) ## Collaborates with Institutions on the bylines of the same works here; the number is the works they share. [Google 1](https://md.research.elamur.ai/free/en/companies/google/) [University of California, Berkeley 1](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) [Carnegie Mellon University 1](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) [Technical University of Munich 1](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) [Seoul National University 1](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) [Constructor University 1](https://md.research.elamur.ai/free/en/universities/constructor-university/) [Stellenbosch University 1](https://md.research.elamur.ai/free/en/universities/stellenbosch-university/) [Georgia Institute of Technology 1](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) [Saarland University 1](https://md.research.elamur.ai/free/en/universities/saarland-university/) [University of Waterloo 1](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) [NAVER Cloud 4](https://md.research.elamur.ai/free/en/companies/naver-cloud/) [Korea University 1](https://md.research.elamur.ai/free/en/universities/korea-university/) ## Parent and units **Units** [NAVER Cloud](https://md.research.elamur.ai/free/en/companies/naver-cloud/) Line Corporation From the Research Organization Registry (ROR); those with a page here are linked. Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Naver; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.