About me

My name is Zhihan Zhang (张智涵). I am a third-year Ph.D. student in Computer Science and Engineering at the University of Notre Dame, advised by Dr. Meng Jiang. I am currently a member of Dr. Jiang’s Data Mining towards Decision Making (DM2) Lab. Prior to my Ph.D. career, I received my Bachelor’s degree in Computer Science at Peking University, where I had the fortune of working with Dr. Yunfang Wu and Dr. Xu Sun. My recent research mainly focuses on Large Language Models (LLMs), Instruction Tuning, Knowledge Augmentation and Text Retrieval.

For my past education and research experience, please refer to Experience. For the full list of my publications, please refer to Publications or check my Google Scholar page.


  • Jun 2024: I am joining Amazon as a full-time research intern in summer 2024.
  • May 2024: One first-authored paper is accepted to ACL 2024 main conference! We studied the challenges in cross-lingual instruction-tuning and proposed a simple yet effective method to improve LLMs’ proficiency in low-resource languages. Code is available on Github.
  • Apr 2024: We released a new preprint on multi-modal mathematical reasoning! We targeted MLLMs’ visual understanding capacity for better reasoning accuracy on multi-modal math problems.
  • Feb 2023: I am joining Tecent America as a full-time research intern in spring 2024.
  • Oct 2023: Two papers are accepted to EMNLP 2023! These include one first-authored paper on automatic instruction optimization of LLMs, and one co-authored paper on language model pre-training for comparative reasoning.
  • Jun 2023: I am joining Snapchat Research as a full-time research intern! I will work with Dr. Francesco Barbieri from the User Modeling & Personalization Group.


  • Email: zzhang23 [at] nd.edu
  • Office: 355 Fitzpatrick Hall of Engineering
  • Location: University of Notre Dame, Notre Dame, IN 46556