---
title: "Sungju Kim · NAVER Cloud — author profile and papers"
description: "Sungju Kim, NAVER Cloud: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sungju-kim/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sungju-kim/)

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# Sungju Kim

Sungju Kim has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Donghyun Kwak](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/), [Fan Wang](https://md.research.elamur.ai/free/en/authors/fan-wang/), [Jaewook Kang](https://md.research.elamur.ai/free/en/authors/jaewook-kang/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5123523883) · [ORCID](https://orcid.org/0009-0000-2123-2925) · [**h-index 1**](https://openalex.org/authors/A5123523883) · [4 works](https://openalex.org/works?filter=author.id:A5123523883) · [222 citations](https://openalex.org/works?filter=author.id:A5123523883&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sungju-kim/#papers) · [🔗 Cited 183 times in our library](https://md.research.elamur.ai/free/en/authors/sungju-kim/cited-by/) · [⭐ Paper Stars ranking: #4288](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4288)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Sungju+Kim) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sungju+Kim) · [dblp](https://dblp.org/search?q=Sungju+Kim) · [ACL Anthology](https://aclanthology.org/search/?q=Sungju+Kim)

## Affiliations

[🏢**NAVER Cloud** Seongnam-si · South Korea 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/naver-cloud/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/sungju-kim/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey on Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)** *(2024 · 367 citations)* This survey covers code generation with large language models: turning a natural-language request into working source code (NL2Code).
2. **[HyperCLOVA X Technical Report](https://md.research.elamur.ai/free/en/papers/yoo-2024-hyperclova-x-technical-report/)** *(2024 · 44 citations)* Most large language models are built mainly for English and carry the cultural assumptions of English-speaking, especially North American, data.

## Co-authors here

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

- [Donghyun Kwak](https://md.research.elamur.ai/free/en/authors/donghyun-kwak/)
- [Fan Wang](https://md.research.elamur.ai/free/en/authors/fan-wang/)
- [Jaewook Kang](https://md.research.elamur.ai/free/en/authors/jaewook-kang/)
- [Kang Min Yoo](https://md.research.elamur.ai/free/en/authors/kang-min-yoo/)

## Cited by

Papers of our library cite their works 183 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sungju-kim/cited-by/).

Updated 30 October 2026
