Scholar
Hanlin Zhang
Google Scholar ID: h5IXxToAAAAJ
Harvard University
Machine Learning
Artificial Intelligence
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Citations & Impact
All-time
Citations
1,092
H-index
14
i10-index
16
Publications
20
Co-authors
3
list available
Contact
Email
hanlinzhang@g.harvard.edu
GitHub
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Publications
3 items
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
2026
Cited
0
Weight Decay Improves Language Model Plasticity
2026
Cited
0
Scaling Reward Modeling without Human Supervision
2026
Cited
0
Resume (English only)
Academic Achievements
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning. Preprint, 2025.
EvoLM: In Search of Lost Language Model Training Dynamics. NeurIPS, 2025 (Oral).
How Does Critical Batch Size Scale in Pre-training? ICLR, 2025.
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models. ICML, 2024.
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming. Findings of ACL, 2023.
Towards Principled Disentanglement for Domain Generalization. CVPR, 2022 (Oral).
Theme by orderedlist.
Research Experience
Involved in various research projects on language models, causal representation learning, evolutionary algorithms, etc.
Education
Received Master's degree in Machine Learning from CMU, advised by Eric Xing; currently pursuing a PhD at Harvard, advised by Sham Kakade.
Background
CS PhD candidate at Harvard, interested in the scientific foundations and social implications of AI.
Co-authors
3 total
Eric Xing
President at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U
Sham M Kakade
Harvard University
Boaz Barak
Harvard University
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