Jiayi Zhang

Hi there! You can also call me 张嘉怡 or Eleanor!

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I am currently a PhD student at University of Chicago’s Data Science Insitute, advised by Prof. Chenhao Tan and affiliated with the broader Communication and Intelligence (C&I) group.

Previously, I spent two years as a PhD student at Northeastern University, building human-like LLM-based user simulators to bridge RL training with real-world interaction. Before that, I completed my B.S. with Honors in Computer Science at the University of Michigan, with minors in Mathematics and Linguistics. There, I had the privilege of being advised by Prof. Lu Wang, and of working closely with Prof. Zhijing Jin and Prof. Rada Mihalcea on NLP for social good.

My research interests lie in building LLM-based systems that achieve bidirectional alignment with humans and can co-improve over the long term in challenging domains. Currently, I’m particularly interested in:

  • Improving how LLMs model human behavioral and conversational patterns, with the goal of building more faithful user simulators that can serve as training environments and probe grounded social interactions (aligning AI $\rightarrow$ Humans);
  • Understanding and explaining complex model behaviors in human-interpretable ways (aligning Humans $\rightarrow$ AI);
  • LLMs for Scientific Discovery.

news

selected publications

  1. ICML
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    Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
    Jiayi Zhang*, Simon Yu*, Derek Chong*, Anthony Sicilia, Michael R. Tomz, Christopher D. Manning, and Weiyan Shi
    In Proceedings of the International Conference on Machine Learning, 2026
  2. NAACL
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    Analyzing the Role of Semantic Representations in the Era of Large Language Models
    Zhijing Jin*, Yuen Chen*, Fernando Gonzalez*, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, and Mona Diab
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024