Hanlin Zhang

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About

I am a CS PhD student at Harvard ML Foundations Group and an applied scientist intern at Amazon.

I am interested in foundations and social implications of machine learning. Currently thinking about datasets and reliability of lanugage models.

I received my Master's degree in Machine Learning at CMU and Bachelor's degree in Computer Science from SCUT.

Selected Papers

Full list in Google Scholar

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Preprint, 2023. [Paper] [Blog] [Code]
Hanlin Zhang, Ben L Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, and Boaz Barak

A Study on the Calibration of In-context Learning
NeurIPS workshop, 2023. (Oral) [Paper]
Hanlin Zhang, Yi-Fan Zhang, Yaodong Yu, Dhruv Madeka, Dean Foster, Eric Xing, Himabindu Lakkaraju, Sham Kakade

Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
ICML, 2023. (Oral) [Paper] [Website] [Code]
Alexander Pan, Chan Jun Shern, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Jonathan Ng, Hanlin Zhang, Scott Emmons, Dan Hendrycks

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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