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University of Illinois Urbana-Champaign
Douwe KielaResearch Scientist Director · Google DeepMindResearcher↗
Researcher
Ming-Wei Chang
Google DeepMindResearch Scientist
Chang co-created BERT, which learns the meaning of a word by reading the text on both sides of it[1] and transformed search, question answering, and other language tasks.[2] He also developed methods that let models retrieve relevant documents instead of relying only on information stored during training.[3]
Career & education
Current roleGoogle DeepMind2023-presentResearch Scientist
Google DeepMind2023-presentWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations244,018As of Nov 1, '26
citations+4,908Since last snapshot, Oct 1, '26
Selected contributions
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT learns word meaning from the text on both sides.
References
- BERT: Pre-training of Deep Bidirectional Transformersarxiv.org
BERT: Pre-training of Deep Bidirectional Transformers; verified primary evidence for the anchored contribution. Original BERT and REALM papers and current personal publication page checked; existing prose preserved.
- Understanding searches better than ever beforeblog.google
Understanding searches better than ever before; verified primary evidence for the anchored contribution. Original BERT and REALM papers and current personal publication page checked; existing prose preserved.
- REALM: Retrieval-Augmented Language Model Pre-Trainingarxiv.org
REALM: Retrieval-Augmented Language Model Pre-Training; verified primary evidence for the anchored contribution. Original BERT and REALM papers and current personal publication page checked; existing prose preserved.
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Reviewed August 7, 2026 · Checked for accuracy and new information.
