Yejin Choi

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Yejin Choi
최예진
Born1977 (age 48–49)
South Korea
Alma materSeoul National University (BS)
Cornell University (PhD)
AwardsMacArthur Fellow (2022)
Scientific career
InstitutionsUniversity of Washington
Stony Brook University
ThesisFine-grained opinion analysis : structure-aware approaches (2010)
Claire Cardie
Korean name
Hangul
최예진
RRChoe Yejin
MRCh'oe Yejin
WebsiteOfficial website Edit this at Wikidata

Yejin Choi (Korean: 최예진; born 1977)[1] is the Dieter Schwarz Foundation Professor and Senior Fellow at the Department of Computer Science at Stanford University and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) respectively.[2] Her research considers natural language processing and computer vision.

Early life and education

Choi is from South Korea. She attended Seoul National University.[3] After earning a bachelor's degree in Computer Science, Choi moved to the United States, where she joined Cornell University as a graduate student. There she worked with Claire Cardie on natural language processing. After earning her doctorate, Choi joined Stony Brook University as an Assistant Professor of Computer Science.[4] At Stony Brook University Choi developed a statistical technique to identify fake hotel reviews.[5]

Research and career

In 2018 Choi joined the Allen Institute for AI.[6] Her research looks to endow computers with a statistical understanding of written language.[7] She became interested in neural networks and their application in artificial intelligence. She started to assemble a knowledge base that became known as the atlas of machine commonsense (ATOMIC). By the time she had finished the creation of ATOMIC, the language model generative Pre-trained Transformer 2 (GPT-2) had been released.[8] ATOMIC does not make use of linguistic rules, but combines the representations of different languages within a neural network.[8]

In 2020, Choi was endowed with the Brett Helsel Professorship, which she held until she became Chair of Computer Science in 2023.[9][10] She has since made use of Commonsense Transformers (COMET) with Good old fashioned artificial intelligence (GOFAI). The approach combines symbolic reasoning and neural networks.[8] She has developed computational models that can detect biases in language that work against people from underrepresented groups.[11] For example, one study demonstrated that female film characters are portrayed as less powerful than their male counterparts.[7]

In 2023, Choi became The Wissner-Slivka Chair of Computer Science.[10] Choi is also a scientific advisor to French research group Kyutai which is being funded by Xavier Niel, Rodolphe Saadé, Eric Schmidt, and others.[12]

In 2025, Stanford HAI announced the appointment of Choi as senior fellow and the Dieter Schwarz Foundation HAI Professor and Professor of Computer Science at Stanford University.[13]

Awards and honours

Select publications

References

  1. "University of Washington computer science professor Yejin Choi wins $800K 'genius grant' – GeekWire". 12 October 2022.
  2. "Yejin Choi's Profile". Stanford Profiles. Retrieved 3 September 2025.
  3. "Yejin Choi". Stanford HAI. Retrieved 2020-10-01.
  4. "Yejin Choi". www3.cs.stonybrook.edu. Retrieved 2020-10-02.
  5. "Asian American: Yejin Choi Devises Method to Detect Fake Reviews Goldsea". goldsea.com. Retrieved 2020-10-02.
  6. "Mosaic - People". mosaic.allenai.org. Archived from the original on 2020-11-02. Retrieved 2020-10-01.
  7. Snyder, Alison (15 March 2018). "Trying to give AI some common sense". Axios. Retrieved 2020-10-01.
  8. "Common Sense Comes to Computers". Quanta Magazine. 30 April 2020. Retrieved 2020-10-01.
  9. "Endowment for Faculty Excellence | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu. Retrieved 2024-03-08.
  10. "The Wissner-Slivka Chair". Paul G. Allen School of Computer Science & Engineering. Retrieved 2024-02-11.
  11. "Anita Borg Award (BECA) - CRA-WP". Archived from the original on 2020-12-18. Retrieved 2020-10-01.
  12. Dillet, Romain (2023-11-17). "Kyutai is a French AI research lab with a $330 million budget that will make everything open source". TechCrunch. Retrieved 2024-06-16.
  13. "NVIDIA's Yejin Choi Joins Stanford HAI". Stanford Institute for Human-Centered Artificial Intelligence. Retrieved 3 September 2025.
  14. Zeng, Daniel. "AI's 10 to Watch" (PDF). IEEE. Retrieved 2020-10-01.
  15. "Yejin Choi (Cornell CS PhD '10) won the Marr Prize for her paper "From Large Scale Image Categorization to Entry-Level Categories" | Department of Computer Science". www.cs.cornell.edu. Retrieved 2020-10-01.
  16. "Announcing the Winners of the Facebook ParlAI Research Awards". Facebook Research. 2017-10-18. Retrieved 2020-10-01.
  17. "AAAI Outstanding Paper Award". aaai.org. Retrieved 2020-10-01.
  18. "NeurIPS Outstanding Paper Award". blog.neurips.cc. 30 November 2021. Retrieved 2024-03-05.
  19. "ACL Test-of-time Paper Award". aclweb.org. Retrieved 2024-03-05.
  20. "CVPR Longuet-Higgins Prize". cvpr2021.thecvf.com. Retrieved 2024-03-05.
  21. "NAACL Outstanding Paper Award". 2022.naacl.org. 29 June 2022. Retrieved 2024-03-05.
  22. "ICML Outstanding Paper Award". icml.cc. Retrieved 2024-03-05.
  23. Blair, Elizabeth (12 October 2022). "An ornithologist, a cellist and a human rights activist: the 2022 MacArthur Fellows". npr.org. Retrieved 2022-10-12.
  24. "ACL Outstanding Paper Award". 2023.aclweb.org. Retrieved 2024-03-05.
  25. "Yejin Choi: The 100 Most Influential People in AI 2023". Time. Retrieved 3 September 2025.
  26. "Best Papers - EMNLP 2023". Empirical Methods in Natural Language Processing. Retrieved 3 September 2025.
  27. "Awards - ACL 2025". Association for Computational Linguistics. Retrieved 3 September 2025.
  28. "Awards - ACL 2025". Association for Computational Linguistics. Retrieved 3 September 2025.
  29. "Yejin Choi: The 100 Most Influential People in 2025". Time. Retrieved 3 September 2025.