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Meeyoung Cha

Meeyoung Cha has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Alon Y. Halevy, Byung-Jun Lee, David Corney.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 46 · 289 works · 16,562 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 72 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6026

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 Korea2004–2026 · 168 papersEducation until 2008 · Ph.D., Computer ScienceEmployment 2010–2017 · Assistant/Associate Professor, Graduate School of Culture TechnologyEmployment since 2017 · Associate/Full Professor, School of Computingcurrent🔬Max Planck Institute for Security and PrivacyBochum · Germany2023–2026 · 35 papersEmployment since 2023 · Scientific Directorcurrent🔬Institute for Basic ScienceDaejeon · South Korea2019–2025 · 75 papersEmployment 2019–2024 · Chief Investigator, Center for Mathematical and Computational Sciences🔬Max Planck Institute for Software SystemsSaarbrücken · Germany2008–2021 · 11 papersEmployment 2008–2010 · Postdoctoral Researcher, Networked Systems🔬Max Planck SocietyMunich · Germany2009–2021 · 4 papers🏢Telefonica Research and DevelopmentMadrid · Spain2007–2008 · 2 papers
🏛️Meta Platforms IncMenlo Park · United States2015–2016Employment 2015–2016 · Visiting Professor, Core Data Science
🏢MetaMenlo Park · United States2015Employment since 2015
🏛️FacebookEmployment
🏛️SK TelecomSouth KoreaEmployment

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Factuality Challenges in the Era of Large Language Models (2023 · 243 citations)
    This perspective article, written by researchers and fact-checking practitioners, looks at how chatbots built on LLMs such as ChatGPT, Bing Chat and Bard affect the reliability of public information. It presents no new dataset or model. Instead, it surveys existing evidence and frames the problem in two parts:
  2. SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger (2026)
    Open-weight LLMs can be stripped of their safety alignment by malicious fine-tuning (MFT) on harmful data.

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. Factuality Challenges in the Era of Large Language ModelsNature Machine IntelligenceIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 243 citations
  2. The Conflict Between People's Urge to Punish AI and Legal Systems ↗arXiv:2003.06507 · no summary yetGabriel Lima et al.2020 · 25 citations
  3. SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, et al.2026

 Co-authors here

12 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 72 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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