Tsinghua University
Carnegie Mellon University
Barret ZophVice President of Research · Google DeepMindResearcher↗
Researcher
Xuezhi Wang
Google DeepMindSenior Staff Research Scientist
Wang is a Google DeepMind researcher behind chain-of-thought prompting and self-consistency, techniques that markedly improved reasoning in large language models.
Career & education
Current roleGoogle DeepMind2024-presentSenior Staff Research Scientist
Google DeepMind2024-presentPreviouslyGoogle DeepMind2021-2024Staff Research Scientist
Google Brain2018-2021Research Scientist
Google DeepMind2021-2024Google Brain2018-2021Work 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.
citations113,240As of Nov 1, '26
citations+1,909Since last snapshot, Oct 19, '26
Selected contributions
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
With Jason Wei, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le and others ·Showed that examples with reasoning steps can help language models solve harder problems.
PaLM: Scaling Language Modeling with Pathways
With Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham and others ·Presented PaLM, a large language model demonstrating gains in reasoning, translation and coding.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
