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Dongwoo Kim

Dongwoo Kim has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Summarization, Bias, fairness & safety; often with Atabak Ashfaq, Gary Lee, Heejin Do.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 11 · 45 works · 849 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 983 times in our library · ⭐ Paper Stars ranking: #9451

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

🎓Gwangju Institute of Science and TechnologyGwangju · South Korea2026 · 1 papercurrent🎓Seoul National UniversitySeoul · South Korea2004–2024 · 13 papers🏢Western DigitalSan Jose · United States2021–2022 · 6 papers🎓Kyungpook National UniversityDaegu · South Korea2016–2018 · 5 papers🎓Kyung Hee UniversitySeoul · South Korea2016–2018 · 2 papers🎓Chungnam National UniversityDaejeon · South Korea2014–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workSummarization · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle (2024 · 13 citations)
    The report describes how Microsoft made its Phi-3 family of small language models safer. These models are compact enough for on-device use, so they reach many users and contexts. The team used an iterative "break-fix" loop with five stages. First, they built safety data: public datasets that were cleaned up, partly…
  2. Exploring Iterative Controllable Summarization with Large Language Models (2026 · 2 citations)
    LLMs write fluent summaries, but it is unclear how well they follow precise user requirements such as a target length or topic focus.

 Co-authors here

8 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 983 times (of the 149,439 papers whose bibliographies we read); 158 citing papers with a page here →.

Updated

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