Ziyao Shangguan 上官子窈

I am a second-year Master's student in Computer Science at Yale University, advised by Prof. Tesca Fitzgerald and Prof. Arman Cohan. My research interest lies in interactive robot learning, particularly in enabling robots to reason over human intentions through vision and to learn from human interactions adaptively. My current projects focus on utilizing Multimodal Foundation Models to enhance robotics systems.

Prior to joining Yale, I received my bachelor's degree in Computer Science & Mathematics from New York University. During my undergraduate years, I was affliated with NYU Robotic Design Team, advised by Prof. Haldun Hadimioglu.

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Jan' 25  

TOMATO is accepted to ICLR 2025. Let's catch up in Singapore! 🇸🇬✨

Sep' 24  

M3SciQA is accepted to EMNLP 2024.


Publications & Preprints

* denotes equal contributions.

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Ziyao Shangguan*, Chuhan Li* , Yuxuan Ding , Yanan Zheng , Yilun Zhao , Tesca Fitzgerald , Arman Cohan

ICLR 2025    ArXiv / Dataset

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Chuhan Li* , Ziyao Shangguan*, Yilun Zhao , Deyuan Li , Yixin Liu , Arman Cohan

EMNLP 2024    ArXiv / Dataset


Awards & Honors
  • University Fellowship, Yale University, 2023-25

Professional Services
  • Reviewer, ICLR 2025

Outreach
  • Mentor, Girl Scout Troop 3329 FIRST LEGO League Challenge, New York City, 2016-2019




© Ziyao Shangguan
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