Kaiya Ivy Zhao

Kaiya Ivy Zhao

EECS PhD Student @ MIT

Massachusetts Institute of Technology

About

Hi! I’m Ivy, a PhD student at MIT CSAIL, where I am fortunate to be co-advised by Professor Phillip Isola and Professor Josh Tenenbaum. Previously, I worked with Professor Guangyu Robert Yang at MIT on autonomous agents for real-time interaction.

My research broadly lies at the intersection of representation learning, agentic systems, and human-centered AI.

I study how agents form and adapt representations of worlds, people, and other agents through interaction, and how those representations shape downstream behavior and generalization.

My current interests include:

  • Agents & Interactive Learning: How can agents learn from interaction, adapt to unfamiliar environments, and improve through experience and feedback?
  • World Models & Representation Learning: How can machines learn structured and generalizable models of the world? What representations support prediction, abstraction, and counterfactual reasoning?
  • Cognitive Science & Human-Centered AI: How does the human mind learn, reason, and adapt? How can these principles help AI systems better understand and adapt to individual people?

I often use games and creative workflows as concrete environments for studying these questions.

I publish under the name “Kaiya Ivy Zhao”, where “Zhao” is my surname and “Kaiya” is my forename. “Ivy” (ai·vee) is the name I usually go by.

Outside of research, I enjoy boba, musicals, classical music, snowboarding and fluffy cats.

Feel free to reach out via email to discuss research or collaborations.

Interests
  • Agents & Interactive Learning
  • World Models & Representation Learning
  • Cognitive Science & Human-Centered AI
Education
  • PhD in Computer Science, 2024 - present

    Massachusetts Institute of Technology

  • BSc in Computer Science, 2020 - 2024

    Fudan University

Selected Publications

For a complete and up-to-date list, please see my Google Scholar.
(2026). Seeing Helps Reasoning in Language Models. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026.

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(2026). AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games.

Cite arXiv

(2025). HugAgent: Benchmarking LLMs for Simulation of Individualized Human Reasoning. Language, Agent, and World Models Workshop @ NeurIPS 2025 (Spotlight).

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(2025). Assessing Adaptive World Models in Machines with Novel Games. Language, Agent, and World Models Workshop @ NeurIPS 2025 (Best Paper Award).

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(2023). Lyfe Agents: Generative agents for low-cost real-time social interactions.

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