--- title: "Dojun Park — author profile and papers" description: "Dojun Park, Seoul National University: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/dojun-park/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dojun-park/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dojun Park # Dojun Park Dojun Park has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Hyeyun Jeong](https://md.research.elamur.ai/free/en/authors/hyeyun-jeong/), [Jiwoo Lee](https://md.research.elamur.ai/free/en/authors/jiwoo-lee/), [Seohyun Park](https://md.research.elamur.ai/free/en/authors/seohyun-park/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5046495784) · [ORCID](https://orcid.org/0009-0009-3674-3096) · [**h-index 2**](https://openalex.org/authors/A5046495784) · [12 works](https://openalex.org/works?filter=author.id:A5046495784) · [17 citations](https://openalex.org/works?filter=author.id:A5046495784&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dojun-park/#papers) · [🔗 22 citations in our library](https://md.research.elamur.ai/free/en/authors/dojun-park/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Star rank #4562](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4562) 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=Dojun+Park) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dojun+Park) · [dblp](https://dblp.org/search?q=Dojun+Park) · [ACL Anthology](https://aclanthology.org/search/?q=Dojun+Park) ## Affiliations [🎓**Seoul National University** Seoul · South Korea 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) · [🎓**Catholic University of Korea** Seoul · South Korea 2026 · 1 paper*current*](https://ror.org/01fpnj063) · [🎓**University of Stuttgart** Stuttgart · Germany 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-stuttgart/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/dojun-park/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/park-2024-multiprageval-multilingual-pragmatic-evaluation-large/)** *(2024 · 17 citations)* Most LLM benchmarks test knowledge and logical reasoning. They rarely check whether a model grasps what a speaker means beyond the literal words, and the few pragmatic evaluations that exist are mostly English-only. MultiPragEval fills this gap with a pragmatic test suite in English, German, Korean, and Chinese. 2. **[Pragmatic Competence Evaluation of Large Language Models for the Korean Language](https://md.research.elamur.ai/free/en/papers/park-2024-pragmatic-competence-evaluation-large-language/)** *(2024 · 11 citations)* Most LLM benchmarks focus on knowledge, reasoning, and literal meaning. They also tend to be English-centric and rely heavily on multiple-choice formats. This paper examines a neglected skill: whether models recover what a speaker implies rather than what the words literally say, tested in Korean. The authors built a… ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Hyeyun Jeong](https://md.research.elamur.ai/free/en/authors/hyeyun-jeong/) ×2 - [Jiwoo Lee](https://md.research.elamur.ai/free/en/authors/jiwoo-lee/) ×2 - [Seohyun Park](https://md.research.elamur.ai/free/en/authors/seohyun-park/) ×2 - [Sungeun Lee](https://md.research.elamur.ai/free/en/authors/sungeun-lee/) ×2 ## Cited by Papers of our library cite their works 22 times (of the 140,884 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dojun-park/cited-by/).