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Chulhee Yun

Chulhee Yun has 2 papers in our library, in 2019–2023; often with Ankit Singh Rawat, Kwangjun Ahn, Sanjiv Kumar.

2 papers in our library · 2019–2023

OpenAlex · h-index 10 · 59 works · 333 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #8229

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

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2015–2026 · 17 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2017–2023 · 16 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

 Works by year

2020s

20231 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Are Transformers universal approximators of sequence-to-sequence functions? (2019 · 97 citations)
    Transformers are widely used for NLP, but it has been unclear which sequence-to-sequence mappings they can actually represent.
  2. Linear attention is (maybe) all you need (to understand transformer optimization) (2023 · 10 citations)
    Training Transformers is notoriously hard. Plain SGD lags well behind adaptive optimizers such as Adam, and the loss landscape shows unusual properties that classical optimization theory does not account for. Full Transformers are too complex to analyze directly, so the authors look for the simplest model that still…

 Co-authors here

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

 Cited by

Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

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