Jason Wei
AI researcher at Meta Superintelligence Labs
Coauthored research on prompting models to produce intermediate reasoning steps and on testing whether short factual answers are correct.
Why read Jason Wei?
Read Wei when a model's step-by-step answer looks convincing and you want to understand what the evidence supports. His coauthored chain-of-thought paper compares ordinary question-and-answer examples with examples that include intermediate steps. It also tests alternative explanations for the improvement. The result concerns measured task performance; a readable chain of steps does not guarantee a correct reasoning path.
His coauthored SimpleQA paper asks a separate question: does the model know a short, checkable fact, and can it decline when it does not? Its grading distinguishes correct answers, incorrect answers and non-attempts. Read the prompting example first, then the factuality metric. Together they help you separate solving a reasoning task from making a confident factual claim.
Selected work
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Coauthored research. Figure 1 shows the prompt change on a math problem; sections 3.3 and 6 test explanations and spell out why generated steps can still be wrong.
Cite this selection
XFollowList, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models” reading notes in the Jason Wei profile. https://xfollowlist.com/people/jason-wei#work-7d42a191f4b3
The linked work is the original source; this permalink identifies XFollowList’s reason to read it. Original work published .
Profile-source checking date and references · Dated reading map
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Measuring short-form factuality in large language models
Coauthored research introducing SimpleQA. Start with the grading examples: refusing to answer and confidently supplying a wrong fact have different consequences for the score.
Cite this selection
XFollowList, “Measuring short-form factuality in large language models” reading notes in the Jason Wei profile. https://xfollowlist.com/people/jason-wei#work-bad7631da843
The linked work is the original source; this permalink identifies XFollowList’s reason to read it. Original work published .
Profile-source checking date and references · Dated reading map
Projects & roles
SimpleQA
The team benchmark's reference implementation is hosted here. The repository says it stopped adding new model results in July 2025.
Sources & further reading
Profile sources checked . This describes checking these references, separately from the publication dates of selected works.
- His current site identifies Meta Superintelligence Labs, dates his former OpenAI work and links @_jasonwei.Link to this source note
- Current X metadata names Jason Wei, lists Meta and links his personal website.Link to this source note
- Read for the prompting setup, ablations and limitations; Wei is one of nine authors.Link to this source note
- Read for data construction, grading, calibration and the short-answer scope; Wei shares equal-contribution credit.Link to this source note
Cite this profile’s source check
XFollowList, Jason Wei profile sources. Sources checked 2026-10-09. https://xfollowlist.com/people/jason-wei#sources-checked