I am a CS PhD student at Harvard, advised by Sham Kakade.
I am interested in foundations and social implications of machine learning.
I received my Master's degree in Machine Learning at CMU, advised by Eric Xing.
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
Preprint, 2025. [Paper] [Blog] [Code]
Jikai Jin, Vasilis Syrgkanis, Sham Kakade, Hanlin Zhang
EvoLM: In Search of Lost Language Model Training Dynamics
Preprint, 2025. [Paper] [Blog] [Code]
Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric Xing, Sham Kakade, Hanlin Zhang
Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean Foster, Sham Kakade
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
ICML, 2024. [Paper] [Website] [Blog] [Code]
Hanlin Zhang, Benjamin L Edelman*, Danilo Francati*, Daniele Venturi, Giuseppe Ateniese, and Boaz Barak
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Findings of ACL, 2023. [Paper] [Code]
Hanlin Zhang*, Jiani Huang*, Ziyang Li, Mayur Naik, Eric Xing
Towards Principled Disentanglement for Domain Generalization
CVPR, 2022. (Oral) [Paper] [Code]
Hanlin Zhang*, Yi-Fan Zhang*, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric Xing
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