---
title: "Jongwon Lee — author profile and papers — Elamur Research"
description: "Jongwon Lee, Catholic University of Korea: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jongwon-lee/"
---
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# Jongwon Lee

Jongwon Lee has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Alice Oh](https://md.research.elamur.ai/free/en/authors/alice-oh/), [Chani Jung](https://md.research.elamur.ai/free/en/authors/chani-jung/), [Eunho Yang](https://md.research.elamur.ai/free/en/authors/eunho-yang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5010145365) · [**h-index 1**](https://openalex.org/authors/A5010145365) · [3 works](https://openalex.org/works?filter=author.id:A5010145365) · [7 citations](https://openalex.org/works?filter=author.id:A5010145365&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jongwon-lee/#papers) · [⭐ Paper Stars ranking: #12061](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12061)

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=Jongwon+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jongwon+Lee) · [dblp](https://dblp.org/search?q=Jongwon+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Jongwon+Lee)

## Affiliations

[🎓**Catholic University of Korea** Seoul · South Korea 2026 · 1 paper*current*](https://ror.org/01fpnj063)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 6 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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jongwon-lee/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines](https://md.research.elamur.ai/free/en/papers/seo-2026-evaluating-pre-consultation-ability-llms/)** *(2026)* The paper addresses a gap in medical LLM evaluation. Existing benchmarks mostly check final diagnoses or multiple-choice knowledge, not how well a model gathers patient history before a doctor visit. The authors introduce EPAG, a benchmark and open pipeline for this pre-consultation step.
2. **[FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-finest-improving-llm-responses-sensitive/)** *(2026)* When asked about sensitive topics, LLMs often give hedged, generic answers. They avoid harm but fail to address what the user actually asked. Existing evaluations judge such answers with coarse or subjective measures, so they offer little concrete guidance for fixing them. The authors propose FINEST, a fine-grained…

## Co-authors here

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

- [Alice Oh](https://md.research.elamur.ai/free/en/authors/alice-oh/)
- [Chani Jung](https://md.research.elamur.ai/free/en/authors/chani-jung/)
- [Eunho Yang](https://md.research.elamur.ai/free/en/authors/eunho-yang/)
- [Jiho Jin](https://md.research.elamur.ai/free/en/authors/jiho-jin/)
- [Juhyun Oh](https://md.research.elamur.ai/free/en/authors/juhyun-oh/)
- [Junho Myung](https://md.research.elamur.ai/free/en/authors/junho-myung/)
- [Nayeon Lee](https://md.research.elamur.ai/free/en/authors/nayeon-lee/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 1 November 2026
