Ruizhe Shi


About me

I am a first-year Ph.D. student at the University of Washington. Previously, I received my bachelor's degree in Computer Science (Yao class), with a minor in Literature, from Tsinghua University. I'm currently working on principled algorithm design and theoretical analysis of deep learning and foundation models. Recently, I'm also interested in combinatorics, and the application of AI in medicine.

Contact

Research

An Improved Upper Bound for Colorings Without Symmetrically Colored k-Term Arithmetic Progressions.
Ruizhe Shi, Yiqi Dong

Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO.
Ruizhe Shi*, Minhak Song*, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S. Du
ICML 2026 [slide]

The Crucial Role of Samplers in Online Direct Preference Optimization.
Ruizhe Shi*, Runlong Zhou*, Simon S. Du
ICLR 2025 [slide][recording][A short note for improved analysis]

Decoding-Time Language Model Alignment with Multiple Objectives.
Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du
NeurIPS 2024 [slide][recording]

Rethinking Transformers in Solving POMDPs.
Chenhao Lu, Ruizhe Shi*, Yuyao Liu*, Kaizhe Hu, Simon S. Du, Huazhe Xu
ICML 2024

New notes, new thoughts

Palette sparsification paper reading.

One-step flow matching paper reading.

Logit mixing and RLHF paper reading.

An incomplete list of books I like.