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Doyoung Kim

Doyoung Kim has 2 papers in our library, in 2023, most of them on Language models & pretraining, Reasoning; often with Minjoon Seo, Seonghyeon Ye, Seungone Kim.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 12 · 80 works · 829 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 189 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4616

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

🎓Sogang UniversitySeoul · South Korea2009–2025 · 10 paperscurrent🎓University of California, Santa BarbaraSanta Barbara · United States2025 · 1 papercurrent🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2020–2024 · 10 papers🔬Electronics and Telecommunications Research InstituteDaejeon · South Korea2008–2015 · 5 papers🤝National Council of State Boards of NursingChicago · United States2017–2021 · 3 papers🎓University of IdahoMoscow · United States2004–2006 · 3 papers🎓Sungkyunkwan UniversitySuwon · South Korea2014–2024 · 2 papers🔬Institute for Basic ScienceDaejeon · South Korea2023 · 2 papers🤝American Institutes for ResearchAlexandria · United States2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20232 papersDoyoung Kim's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning (2023 · 116 citations)
    Models under roughly 100B parameters usually gain little from chain-of-thought (CoT) prompting on unfamiliar tasks.
  2. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets (2023 · 94 citations)
    Judging how well instruction-following LLMs align with human expectations is difficult. A single prompt may draw on several abilities at once, and the relevant abilities change from prompt to prompt, so one preference score or a fixed metric suite hides much of the picture. The KAIST authors propose FLASK, a protocol…

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. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 116 citations
  2. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 94 citations
  3. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202 · original ↗ · no summary yetJoel Jang et al.2023 · 58 citations

 Co-authors here

7 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 189 times (of the 141,840 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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