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Hyeonwoo Kim

Hyeonwoo Kim has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Chanjun Park, Dahyun Kim, Sanghoon Kim.

2 papers in our library · 2023–2024

OpenAlex · h-index 1 · 1 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #6888

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

🏢UpStageYongin-si · South Korea2024 · 1 papercurrent

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling (2023 · 77 citations)
    Scaling up LLMs usually means training ever-larger networks or adopting mixture-of-experts designs, which complicate training and inference pipelines.
  2. sDPO: Don't Use Your Data All at Once (2024 · 19 citations)
    Direct Preference Optimization (DPO) aligns an LLM by comparing its log-probability ratios for chosen and rejected responses against those of a frozen reference model.

 Co-authors here

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

 Cited by

Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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