Ph.D. Student
I am a fourth-year Ph.D. student in Computer Science and Engineering at the University of Notre Dame, advised by Prof. Meng Jiang. My research interests include multimodal large language models, multimodal reasoning, reinforcement learning, and vision-language-action models. Before starting my Ph.D., I received my M.S. in Computer Science and Engineering from Shandong University. I received my B.S. in Electronic Science and Technology from Shandong University.
Open to internships & full-time roles
I am currently seeking opportunities in multimodal AI, reinforcement learning, and vision-language-action models. Please reach out at jiamengzhao98 [at] gmail [dot] com.
01Preprint 2026
Mengzhao Jia*, Yang Lin*, Xixin Zhang*, Zhihan Zhang, Xiaobai Liu, Meng Jiang
* Core contributors
Agent as Policy (AGP) lets a general purpose agent control a physical robot through visual reasoning, runtime programming, and feedback from execution. It performs assembly, block construction, dice flipping, targeted throwing, and bimanual towel folding without task or environment specific training.
02ACL 2026
Tengchao Yang*, Sichen Guo*, Mengzhao Jia, Jiaming Su, Yuanyang Liu, Zhihan Zhang, Meng Jiang
* Equal Contribution
A benchmark for evaluating multimodal models on mathematical tutoring across insight discovery, operation formulation, and operation execution.
04arXiv 2026
Mengzhao Jia, Zhihan Zhang, Meng Jiang
A groupwise ranking reward that favors reliable, verifier-passed multimodal reasoning trajectories beyond final-answer correctness.
09arXiv 2024
Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang
A two-step training approach that improves multimodal mathematical reasoning through visual comprehension training.
Mar — Sep 2025
Orby AI · Mountain View, CA
May — Sep 2024
Tencent AI Lab · Seattle, WA
2023 — Present
University of Notre Dame, advised by Prof. Meng Jiang.
2020 — 2023
Shandong University
2016 — 2020
Shandong University