PeopleofSuperintelligence

Researcher

Yuling Gu

Yuling Gu is an AI researcher whose work spans open language models, reproducible evaluation, and tests of machine reasoning. She graduated from New York University in 2020 with a double major in Computer Science and Language and Mind, then completed an M.S. at the University of Washington before joining Ai2’s Aristo team. Her work includes DREAM, Digital Socrates, the OLMES evaluation standard, and Olmo 3. She is a PhD student at NYU’s Center for Data Science, a role she began in September 2025. In 2026, she coauthored SimpleToM, an ICLR benchmark that tests whether language models apply mental-state reasoning to predict and judge behavior.

Badges

Timeline

  1. 2020–2022

    Degrees at NYU and Washington

    She graduates from New York University in 2020 after double-majoring in Computer Science and Language and Mind. She completes an M.S. at the University of Washington before joining Ai2.

  2. April 2022–August 2025

    Predoctoral researcher on Ai2’s Aristo team

    She joins Ai2’s Aristo team as a Predoctoral Young Investigator in April 2022 and holds the role through August 2025.

  3. 2022

    DREAM for situational questions

    In 2022, she coauthors DREAM, which generates scene elaborations and supplies them as context for answering situational questions.

  4. 2024

    Digital Socrates explanation critiques

    In August 2024, she introduces Digital Socrates, an open-source critique model that automatically characterizes how large language models explain their answers.

  5. 2024–2025

    The OLMES evaluation standard

    In 2024, she coauthors OLMES, an open standard for reproducible language-model evaluations. Findings of NAACL publishes the work in 2025.

  6. 2025

    Olmo 3 open models

    She coauthors the Olmo 3 paper in 2025, which introduces a family of fully open 7B and 32B language models.

  7. 2026

    SimpleToM at ICLR

    In 2026, she coauthors SimpleToM, an ICLR benchmark that tests whether models apply inferred mental states to predict behavior and judge actions.

  8. Since September 2025

    PhD student at NYU

    She starts a PhD at NYU’s Center for Data Science in September 2025 and is a PhD student there as of October 2026.

Career

  1. 2022–2025Allen Institute for AI (Ai2)Predoctoral Young Investigator

Education

  1. From 2025New York UniversityPhD
  2. 2022University of WashingtonM.S.
  3. 2020New York UniversityBachelor's degree

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Allen Institute for AI (Ai2). We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Allen Institute for AI (Ai2). Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  3. 72% of AI researchers with top works connect into a single 2,592-person co-author groupIncludes Allen Institute for AI (Ai2). We map the co-author network across 3,593 people shaping AI and 14,977 most-cited papers: 2,592 (72%) form one connected group with a median distance of 5 steps, led in 2-step reach by Yoshua Bengio (570) and in shortest-path bridging by Yoshua Bengio (6.7%).
  4. Direct Form 990 pay in the latest returns of 39 nonprofits with AI people on this site is highest at $2.1M at the Allen Institute for AI (Ai2) (2024)Includes Allen Institute for AI (Ai2). IRS Form 990 compensation across 39 nonprofits with AI people on this site from 2012 to 2025: in the latest returns, Mozilla reports $6.1M including related-company pay (2024) and the Allen Institute for AI (Ai2) leads direct nonprofit pay at $2.1M (2024).

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Yuling Gu yet. Send us a free-licensed photo.

  1. Yuling Gu yulinggu-cs.github.io. Checked 20 October 2026.
  2. DREAM: Improving Situational QA by First Elaborating the Situation aclanthology.org. Checked 20 October 2026.
  3. Digital Socrates: Evaluating LLMs through Explanation Critiques allenai.org. Checked 20 October 2026.
  4. OLMES: A Standard for Language Model Evaluations arxiv.org. Checked 20 October 2026.
  5. OLMES: A Standard for Language Model Evaluations aclanthology.org. Checked 20 October 2026.
  6. Olmo 3 arxiv.org. Checked 20 October 2026.
  7. SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs arxiv.org. Checked 20 October 2026.