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Sungchul Kim

Sungchul Kim has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Question answering, Bias, fairness & safety; often with Ruiyi Zhang, Ryan A. Rossi, Tong Yu.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 26 · 186 works · 3,464 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 424 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2318

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Adobe SystemsSan Jose · United States2016–2026 · 106 papersEmployment since 2016current🎓Pohang University of Science and TechnologyPohang · South Korea2009–2021 · 15 papersEducation🏢SamsungSeoul · South Korea2010–2016 · 5 papers🎓Chungbuk National UniversityCheongju-si · South Korea2015–2024 · 4 papers🏢Samsung DisplayYongin-si · South Korea2015–2016 · 3 papers🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2024–2025 · 2 papers🎓University of Southern CaliforniaLos Angeles · United States2021–2023 · 2 papers🎓Wonkwang UniversityIksan · South Korea2016–2017 · 2 papers
🏛️Adobe Systems IncSan Jose · United States2016Employment since 2016 · Research Scientist, Adobe Research
🏛️POSTECHPohang · South KoreaEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workQuestion answering · 1 workVision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Large language models · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Bias and Fairness in Large Language Models: A Survey (2023 · 1,082 citations)
    Large language models learn from enormous, mostly uncurated web text. Along the way they absorb social biases and can even amplify them: stereotypes, toxic or exclusionary wording, and weak handling of some dialects. These harms fall hardest on groups that are already marginalized. This survey, accepted at…
  2. Doc-React: Multi-page Heterogeneous Document Question-answering (2025 · 6 citations)
    Doc-React tackles question answering over long documents whose pages mix text, charts and images in irregular layouts.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  2. Personalization of Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetZhehao Zhang et al.2024 · 61 citations
  3. Doc-React: Multi-page Heterogeneous Document Question-answeringAnnual Meeting of the Association for Computational Linguistics (ACL)Junda Wu, Yu Xia, Tong Yu, et al.2025 · 6 citations

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 424 times (of the 149,439 papers whose bibliographies we read); 93 citing papers with a page here →.

Updated

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