Siyan Zhao

I’m a third-year PhD student in Computer Science at the University of California, Los Angeles. I am fortunate to be advised by Professor Aditya Grover.
My primary research interest lies in endowing machine learning algorithms with human-like reasoning and planning capabilities. Currently, I am particularly drawn to scaling reasoning in large language models, aligning them with human preferences, efficient inference, and diffusion-based LLMs.
Previously, I worked on 3D perception and planning for autonomous driving. Prior to joining UCLA, I obtained my bachelor’s degree from the Engineering Science, Machine Intelligence program at the University of Toronto.
Recent Updates
[05/2025] | Gave invited talks on “Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning” at ASAP seminar, HKU NLP Group, UCSD Hao AI Lab, and NVIDIA! |
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[02/2025] | PrefEval is accepted to ICLR 2025 as Oral! |
[01/2025] | Prepacking is accepted to AISTATS 2025! |
[09/2024] | Probing the Decision Boundaries of In-context Learning in LLM is accepted at NeurIPS 2024! |
[08/2024] | Excited to receive the 2024 Amazon Fellowship. |
[01/2024] | Group Preference Optimization got accepted at ICLR 2024! |
[10/2023] | Decision Stacks got accepted at NeurIPS 2023! |
Publications and Preprints
- ICRA 2022
- Preprint