Jiayi Zhang
Hi there! You can also call me 张嘉怡 or Eleanor!
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
| Apr 30, 2026 | Both Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity and BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities are accepted to ICML 2026. See you in Seoul! |
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| Oct 09, 2025 | New preprint out on BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities. |
| Oct 01, 2025 | New preprint out on Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity. |
selected publications
- NAACL
Analyzing the Role of Semantic Representations in the Era of Large Language ModelsIn Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics, 2024