--- title: "KaeHyun Um · Yonsei University — author profile and papers" description: "KaeHyun Um, Yonsei University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kaehyun-um/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaehyun-um/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / KaeHyun Um # KaeHyun Um KaeHyun Um has 2 papers in our library, in 2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Kyong-Ho Lee](https://md.research.elamur.ai/free/en/authors/kyong-ho-lee/), [Midan Shim](https://md.research.elamur.ai/free/en/authors/midan-shim/), [Seokju Hwang](https://md.research.elamur.ai/free/en/authors/seokju-hwang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5115087012) · [ORCID](https://orcid.org/0009-0005-2366-5296) · [**h-index 1**](https://openalex.org/authors/A5115087012) · [11 works](https://openalex.org/works?filter=author.id:A5115087012) · [28 citations](https://openalex.org/works?filter=author.id:A5115087012&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kaehyun-um/#papers) · [⭐ Paper Stars ranking: #13696](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13696) 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=KaeHyun+Um) · [Semantic Scholar](https://www.semanticscholar.org/search?q=KaeHyun+Um) · [dblp](https://dblp.org/search?q=KaeHyun+Um) · [ACL Anthology](https://aclanthology.org/search/?q=KaeHyun+Um) ## Affiliations [🎓**Yonsei University** Seoul · South Korea 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/yonsei-university/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 1 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/kaehyun-um/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation](https://md.research.elamur.ai/free/en/papers/yang-2026-data-efficient-adaptation-contextual-shifts/)** *(2026)* LLM-based conversational recommender systems (CRSs) lose quality once deployed because language use and social or cultural trends keep changing. 2. **[Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement](https://md.research.elamur.ai/free/en/papers/shim-2026-which-bird-does-not-have/)** *(2026)* Most KGQA benchmarks and methods focus on positive constraints and calculations such as counting or comparison. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Kyong-Ho Lee](https://md.research.elamur.ai/free/en/authors/kyong-ho-lee/) ×2 - [Midan Shim](https://md.research.elamur.ai/free/en/authors/midan-shim/) ×2 - [Seokju Hwang](https://md.research.elamur.ai/free/en/authors/seokju-hwang/) ×2 - [Donghyun Kim](https://md.research.elamur.ai/free/en/authors/donghyun-kim/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026