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Juyoung Suk

Juyoung Suk has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks; often with Graham Neubig, Sean Welleck, Seungone Kim.

2 papers in our library · 2024–2025

OpenAlex · h-index 4 · 10 works · 82 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 307 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5192

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

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2024–2026 · 6 paperscurrent🏢LG AI ResearchSeoul · South Korea2024 · 2 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models (2024 · 234 citations)
    Teams often use proprietary models such as GPT-4 to judge LM outputs, but these judges are opaque, hard to control, and costly.
  2. Evaluating Language Models as Synthetic Data Generators (2025 · 32 citations)
    Synthetic data now drives much of language model post-training. Earlier data-generation studies, however, each used different generator LMs, data volumes, student models and benchmarks, so their results cannot be compared to show which LM produces the most useful training data. Kim et al. address this with…

All works

4 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. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
  2. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetSeungone Kim et al.2025 · 57 citations
  3. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 citations
  4. On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists ↗arXiv:2605.20668 · no summary yetSeungone Kim et al.2026 · 2 citations

 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 307 times (of the 149,439 papers whose bibliographies we read); 71 citing papers with a page here →.

Updated

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