--- title: "Nayoung Lee — author profile and papers — Elamur Research" description: "Nayoung Lee: 2 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nayoung-lee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nayoung-lee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nayoung Lee # Nayoung Lee Nayoung Lee has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Dimitris Papailiopoulos](https://md.research.elamur.ai/free/en/authors/dimitris-papailiopoulos/), [Kangwook Lee](https://md.research.elamur.ai/free/en/authors/kangwook-lee/), [Jaewoong Cho](https://md.research.elamur.ai/free/en/authors/jaewoong-cho/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5100605142) · [ORCID](https://orcid.org/0000-0002-1010-6226) · [**h-index 4**](https://openalex.org/authors/A5100605142) · [20 works](https://openalex.org/works?filter=author.id:A5100605142) · [89 citations](https://openalex.org/works?filter=author.id:A5100605142&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nayoung-lee/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/nayoung-lee/cited-by/) · [⭐ Paper Stars ranking: #8453](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8453) 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=Nayoung+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nayoung+Lee) · [dblp](https://dblp.org/search?q=Nayoung+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Nayoung+Lee) ## Affiliations [🎓**Chung-Ang University** Seoul · South Korea 2014–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/chung-ang-university/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/nayoung-lee/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/nayoung-lee/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Teaching Arithmetic to Small Transformers](https://md.research.elamur.ai/free/en/papers/lee-2023-teaching-arithmetic-small-transformers/)** *(2023 · 57 citations)* The paper asks which factors let a next-token predictor acquire arithmetic. It uses a controlled setting: small decoder-only transformers (NanoGPT and GPT-2, from 10.6M up to 124M parameters) trained from random initialization with character-level tokens. Tasks include addition, subtraction, multiplication, square… 2. **[Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks](https://md.research.elamur.ai/free/en/papers/park-2024-mamba-learn-learn-comparative-study/)** *(2024 · 41 citations)* In-context learning (ICL) has mostly been studied in Transformers. This paper asks whether attention-free state-space models (SSMs), chiefly Mamba and also S4, can acquire the same ability. Large-scale ICL is hard to test cheaply, so the authors follow the Garg et al. (2022) setup: small models are trained from… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Dimitris Papailiopoulos](https://md.research.elamur.ai/free/en/authors/dimitris-papailiopoulos/) ×2 - [Kangwook Lee](https://md.research.elamur.ai/free/en/authors/kangwook-lee/) ×2 - [Jaewoong Cho](https://md.research.elamur.ai/free/en/authors/jaewoong-cho/) - [Jason D. Lee](https://md.research.elamur.ai/free/en/authors/jason-d-lee/) - [Samet Oymak](https://md.research.elamur.ai/free/en/authors/samet-oymak/) ## Cited by Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nayoung-lee/cited-by/). Updated 3 November 2026