--- title: "Byung-Jun Lee · Korea University — author profile and papers" description: "Byung-Jun Lee, Korea University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/byung-jun-lee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/byung-jun-lee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Byung-Jun Lee # Byung-Jun Lee Byung-Jun 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Sunguk Shin](https://md.research.elamur.ai/free/en/authors/sunguk-shin/), [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/), [Jun Ho Seo](https://md.research.elamur.ai/free/en/authors/jun-ho-seo/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139837927) · [**h-index 0**](https://openalex.org/authors/A5139837927) · [2 works](https://openalex.org/works?filter=author.id:A5139837927) · [0 citations](https://openalex.org/works?filter=author.id:A5139837927&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/byung-jun-lee/#papers) · [⭐ Paper Stars ranking: #11915](https://md.research.elamur.ai/free/en/paper-stars/page/120/#star-11915) 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=Byung-Jun+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Byung-Jun+Lee) · [dblp](https://dblp.org/search?q=Byung-Jun+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Byung-Jun+Lee) ## Affiliations [🎓**Korea University** Seoul · South Korea 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/korea-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 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/byung-jun-lee/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making](https://md.research.elamur.ai/free/en/papers/shin-2026-graphmind-llms-as-dynamic-knowledge/)** *(2026)* LLM agents in interactive environments usually reason over only a short window of recent steps. This approach fails when tasks are long and the world is only partly visible. Retrieval-augmented methods such as GraphRAG rely on fixed, pre-built knowledge, so they cannot absorb facts that emerge during interaction.… 2. **[SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger](https://md.research.elamur.ai/free/en/papers/shin-2026-sgt-securing-open-source-llms/)** *(2026)* Open-weight LLMs can be stripped of their safety alignment by malicious fine-tuning (MFT) on harmful data. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Sunguk Shin](https://md.research.elamur.ai/free/en/authors/sunguk-shin/) ×2 - [Fangzhao Wu](https://md.research.elamur.ai/free/en/authors/fangzhao-wu/) - [Jun Ho Seo](https://md.research.elamur.ai/free/en/authors/jun-ho-seo/) - [Meeyoung Cha](https://md.research.elamur.ai/free/en/authors/meeyoung-cha/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/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