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Seungyoun Hong

Seungyoun Hong is a research scientist and postdoctoral scholar at Stanford University working on machine unlearning, data attribution, hallucination, and generalization.

Researcher1 organizations1 reports

Profile status: updated

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Trust signals

Profile completeness80%

Public sources3

Official sources2

CountryUnited States

Last reviewedMar 12, 2026

Review outcomeUpdated

Official homepage Scholar profile Structured work Structured education

updated United States 3 public sources

Latest review note

Added verified homepage, Stanford profile, Scholar, avatar, bio, PhD education, and current Stanford role.

Education

University of Maryland, College Park PhD

Work

Stanford University Research Scientist / Postdoctoral Scholar

Public links

website Personal homepage google_scholar Google Scholar profile other Stanford profile

Organizations

extended Cohere

Reports

Large Language Models Command A: An Enterprise-Ready Large Language Model

Official and primary sources

https://seungyoun.com/ Official source · homepage https://scholar.google.com/citations?user=jOOwpyEAAAAJ&hl=en Official source · scholar

Supporting sources

https://hai.stanford.edu/people/seungyoun-hong Supporting source · other

LLMpeople is a public atlas for discovering frontier AI researchers with context, provenance, and respect.