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Sugyeong Eo

Sugyeong Eo has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Chanjun Park, Heuiseok Lim, Hyeonseok Moon.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 7 · 79 works · 248 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 21 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #11718

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 University Mirae CampusWŏnju · South Korea2026 · 10 papersEducation since 2026 · Prof., Department of Softwarecurrent🎓Yonsei UniversitySeoul · South Korea2026 · 8 paperscurrent🎓Korea UniversitySeoul · South Korea2020–2026 · 51 papersEducation 2020–2026 · Ph.D, Department of Computer Science and Engineering🎓Korea UniversityTokyo · Japan2021–2024 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 4Research subjects and languages the work is about.Dialogue systems · 1 workEnglish · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education (2023 · 9 citations)
    Learners of English as a foreign language rarely get to practise realistic conversation. Existing tutoring chatbots tend to be rule-based, cope poorly with off-topic input, and give little feedback. PEEP-Talk addresses this with three parts:
  2. Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning (2025 · 4 citations)
    Multiagent debate, where several LLM agents exchange and revise answers, can sharpen reasoning. However, every extra round multiplies inference cost, and needless argument can let one agent's mistake spread to the others. The authors introduce DOWN (Debate Only When Necessary). In DOWN, a single agent answers first…

All works

7 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. PEEP-Talk: A Situational Dialogue-based Chatbot for English EducationAnnual Meeting of the Association for Computational Linguistics (ACL)Seungjun Lee, Yoonna Jang, Chanjun Park, et al.2023 · 9 citations
  2. Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) · no summary yetDahyun Jung et al.2024 · 5 citations
  3. KU X Upstage's Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetSugyeong Eo et al.2022 · 5 citations
  4. Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM ReasoningarXiv:2504.05047Sugyeong Eo, Hyeonseok Moon, Evelyn Hayoon Zi, et al.2025 · 4 citations
  5. Towards Precise Localization of Critical Errors in Machine Translation ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetDahyun Jung, Sugyeong Eo, Heuiseok Lim2024 · 1 citation
  6. QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetSugyeong Eo et al.2022 · 1 citation
  7. Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetSugyeong Eo et al.2024

 Co-authors here

6 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 21 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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