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Seokhwan Kim

Seokhwan Kim has 3 papers in our library, in 2018–2023, most of them on Summarization, Discourse analysis, Language models & pretraining; often with Doo Soon Kim, Franck Dernoncourt, Walter Chang.

3 papers in our library · 2018–2023

OpenAlex · ORCID · h-index 22 · 178 works · 2,390 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 508 times in our library · ⭐ Paper Stars ranking: #1850

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

🎓Yonsei UniversitySeoul · South Korea2008–2025 · 31 paperscurrent🏢AmazonSeattle · United States2020–2024 · 26 papers🔬Institute for Infocomm ResearchSingapore · Singapore2012–2017 · 25 papers🎓Pohang University of Science and TechnologyPohang · South Korea2006–2012 · 13 papers🏢Adobe SystemsSan Jose · United States2018–2020 · 7 papers🎓University of TsukubaTsukuba · Japan2009–2014 · 7 papers🎓Korea UniversitySeoul · South Korea2005–2012 · 6 papers🎓National Taiwan UniversityTaipei · Taiwan2023 · 2 papers🎓University of North Carolina at Chapel HillChapel Hill · United States2023 · 2 papers🏛️Agency for Science, Technology and ResearchSingapore · Singapore2013–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Summarization · 2 worksDiscourse analysis · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paperPLACES: Prompting Language Models for Social Conversation Synthesis

2010s

20191 paperScoring Sentence Singletons and Pairs for Abstractive Summarization20181 paperA Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

 Papers

The most cited first (OpenAlex and our library).

  1. A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents (2018 · 1,022 citations)
    Most neural abstractive summarizers have been built and tested on short news stories of a few hundred words.
  2. Scoring Sentence Singletons and Pairs for Abstractive Summarization (2019 · 157 citations)
    When people write summaries, they usually form each summary sentence by shortening one source sentence or by combining material from two.
  3. PLACES: Prompting Language Models for Social Conversation Synthesis (2023 · 90 citations)
    Gathering good dialogue data through crowdsourcing is costly, and for some applications privacy or ethical constraints make it impossible.

 Co-authors here

12 of 14 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 508 times (of the 141,840 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated

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