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Jungseul Ok

Jungseul Ok has 2 papers in our library, in 2026, most of them on Summarization; often with Gary Lee, Heejin Do, Sangwon Ryu.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 12 · 93 works · 494 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11190

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Pohang University of Science and TechnologyPohang · South Korea2020–2026 · 50 paperscurrent🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2012–2018 · 13 papers🎓KTH Royal Institute of TechnologyStockholm · Sweden2018 · 3 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Summarization · 2 works

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring Iterative Controllable Summarization with Large Language Models (2026 · 2 citations)
    LLMs write fluent summaries, but it is unclear how well they follow precise user requirements such as a target length or topic focus.
  2. Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search (2026)
    The paper tackles multi-attribute controllable summarization, where a summary must meet several user constraints at once: extractiveness, length, specificity, topic and speaker.

All works

3 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. Exploring Iterative Controllable Summarization with Large Language ModelsFindings of the Association for Computational LinguisticsSangwon Ryu, Heejin Do, Daehui Kim, et al.2026 · 2 citations
  2. Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Sangwon Ryu, Heejin Do, Yunsu Kim, et al.2026
  3. PaT: Planning-after-Trial for Efficient Test-Time Code Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYoungsik Yoon et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jungseul-ok/