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Ruiqi Zhong portrait

Researcher

Ruiqi Zhong

Thinking Machines LabMember of Technical Staff

Zhong studies how people can supervise AI systems that outperform them. His work showed that language models can learn to mislead human evaluators, while another line uses models to explain complex datasets and system behavior in ordinary language so people can inspect what they would otherwise miss.

Career & education

Current role
May 2025-present
Member of Technical Staff
Previously
2023-2024
Member of Technical Staff (Part-time)
Education

Work 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.
1 snapshots
Citation snapshot on Oct 20, '264,835Oct 20, '26
citations4,835As of Oct 20, '26
For today’s citation count and per work, visit Google Scholar.
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Reviewed August 10, 2026 · Checked for accuracy and new information.

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