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Jinwoo Ahn

Jinwoo Ahn has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Efficient models & compression; often with Dan Klein, Jacob Steinhardt, Ruiqi Zhong.

2 papers in our library · 2023–2025

OpenAlex · h-index 12 · 99 works · 442 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 43 times in our library · ⭐ Paper Stars ranking: #7863

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

🏢SamsungSeoul · South Korea2025 · 1 papercurrent🎓Kyungsung UniversityBusan · South Korea2002–2023 · 21 papers🎓Sogang UniversitySeoul · South Korea2018–2020 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksGeneral Social Sciences · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Goal Driven Discovery of Distributional Differences via Language Descriptions (2023 · 42 citations)
    Comparing two large text collections by hand is slow and ad hoc. The authors frame this as an ML task called D5. A system receives a user's exploration goal and a pair of corpora. It must return natural-language predicates that describe how the corpora differ in ways that matter for that goal. For example, reports…
  2. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs (2025 · 6 citations)
    Offline knowledge distillation for LLM pre-training means running the teacher once, caching its outputs, and reusing them to train many students.

 Co-authors here

3 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 43 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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