---
title: "Minbyul Jeong — author profile and papers · Question answering"
description: "Minbyul Jeong, UpStage: 2 papers on Elamur Research (2024), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/minbyul-jeong/"
---
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# Minbyul Jeong

Minbyul Jeong has 2 papers in our library, in 2024, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jaewoo Kang](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/), [Chanwoong Yoon](https://md.research.elamur.ai/free/en/authors/chanwoong-yoon/), [Hyeon Hwang](https://md.research.elamur.ai/free/en/authors/hyeon-hwang/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5007444423) · [ORCID](https://orcid.org/0000-0002-1346-730X) · [Wikidata](https://www.wikidata.org/wiki/Q127983683) · [**h-index 12**](https://openalex.org/authors/A5007444423) · [37 works](https://openalex.org/works?filter=author.id:A5007444423) · [1,515 citations](https://openalex.org/works?filter=author.id:A5007444423&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/minbyul-jeong/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/minbyul-jeong/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5705](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5705)

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

## Affiliations

[🏢**UpStage** Yongin-si · South Korea 2024–2026 · 9 papersEmployment since 2024*current*](https://md.research.elamur.ai/free/en/companies/upstage/) · [🎓**Korea University** Seoul · South Korea 2015–2024 · 19 papersEducation 2015–2019Education 2019–2024](https://md.research.elamur.ai/free/en/universities/korea-university/) · [🎓**Korea University** Tokyo · Japan 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/korea-university-jp/)

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 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/minbyul-jeong/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/jeong-2024-improving-medical-reasoning-through-retrieval/)** *(2024 · 164 citations)* General-purpose retrieval-augmented LLMs often fail in medicine. Methods tuned on open-domain data, such as Self-RAG, tend to pull irrelevant documents and misjudge their usefulness on clinical questions. The authors address this with Self-BioRAG, a biomedical adaptation of Self-RAG. The model decides for itself…
2. **[CompAct: Compressing Retrieved Documents Actively for Question Answering](https://md.research.elamur.ai/free/en/papers/yoon-2024-compact-compressing-retrieved-documents-actively/)** *(2024 · 34 citations)* Retrieval-augmented QA systems often give readers long, noisy contexts. Useful evidence may sit in lower-ranked documents, and multi-hop questions need facts joined across several sources. Existing query-focused compressors work in a single pass, so they tend to drop such evidence. CompAct addresses this by splitting…

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/jeong-2024-improving-medical-reasoning-through-retrieval/) [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/)**Minbyul Jeong, Jiwoong Sohn, Mujeen Sung, et al.*2024 · 164 citations*
2. **[CompAct: Compressing Retrieved Documents Actively for Question Answering](https://md.research.elamur.ai/free/en/papers/yoon-2024-compact-compressing-retrieved-documents-actively/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.*2024 · 34 citations*
3. **[Solar Open Technical Report ↗](https://arxiv.org/abs/2601.07022) arXiv (Cornell University) · no summary yet**Sungrae Park et al.*2026 · 3 citations*
4. **[Solar Open 2 Technical Report ↗](https://arxiv.org/abs/2607.20062) arXiv (Cornell University) · no summary yet**Sungrae Park et al.*2026*

## Co-authors here

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

- [Jaewoo Kang](https://md.research.elamur.ai/free/en/authors/jaewoo-kang/) ×2
- [Chanwoong Yoon](https://md.research.elamur.ai/free/en/authors/chanwoong-yoon/)
- [Hyeon Hwang](https://md.research.elamur.ai/free/en/authors/hyeon-hwang/)
- [Jiwoong Sohn](https://md.research.elamur.ai/free/en/authors/jiwoong-sohn/)
- [Mujeen Sung](https://md.research.elamur.ai/free/en/authors/mujeen-sung/)
- [Taewhoo Lee](https://md.research.elamur.ai/free/en/authors/taewhoo-lee/)

## Venues

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

- [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/): [Bioinformatics 2024](https://md.research.elamur.ai/free/en/venues/bioinformatics/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)

## Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minbyul-jeong/cited-by/).

Updated 1 November 2026
