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rebuilding site Wed 12 Mar 2025 20:45:44 EDT
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assets/media/stacked-peaks.svg

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content/_index.md

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url: uploads/academic_cv.pdf
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content:
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title: '📚 My Research'
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title: 'My Research'
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subtitle: ''
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text: |-
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My core research is centered on a single agenda: to completely and comprehensively understand the training of language models. This objective combines linguistics, optimization, training dynamics, science of deep learning, interpretability, and behavioral analysis. I have extended recently towards using similar approaches to study scientific discovery models, enhancing broader scientific understanding.
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My core agenda focuses on a single goal: to completely and comprehensively understand language model training. This objective combines linguistics, optimization, learning dynamics, science of deep learning, interpretability, and behavioral analysis. Recently, I have begun using similar approaches to study scientific discovery models and enhance broader scientific understanding.
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My current publication list is available on my [Google Scholar](https://scholar.google.com/citations?user=TPhVfX8AAAAJ&hl=en).
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content/publication/rosie/cite.bib

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@inproceedings{rosie,
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author = {Rosie Zhao and Sham Kakade and Saphra, Naomi},
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booktitle = {NeurIPS Workshop on Scientific Methods for Understanding Deep Learning},
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@misc{rosie,
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author = {Rosie Zhao and Tian Qin and David Alvarez-Melis and Sham Kakade and Saphra, Naomi},
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title = {Distributional Scaling Laws for Emergent Capabilities},
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url = {https://openreview.net/forum?id=e8eo9iEFaO#discussion},
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year = {2024}
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url = {https://arxiv.org/abs/2502.17356},
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year = {2025}
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}

content/publication/rosie/index.md

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title: Distributional Scaling Laws for Emergent Capabilities
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authors:
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- Rosie Zhao
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- Tian Qin
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- David Alvarez-Melis
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- Sham Kakade
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- admin
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date: '2024-01-01'
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date: '2025-03-01'
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publishDate: '2025-03-04T20:11:44.830829Z'
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publication_types:
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- preprint
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featured: true
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publication: '*NeurIPS Workshop on Scientific Methods for Understanding Deep Learning*'
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tags:
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- large language models
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- science of deep learning
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- compositionality
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links:
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- name: URL
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url: https://openreview.net/forum?id=e8eo9iEFaO#discussion
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url: https://arxiv.org/abs/2502.17356
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---

content/publication/sunny/cite.bib

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@inproceedings{sunny,
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@misc{sunny,
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author = {Tian Qin and Saphra, Naomi and David Alvarez-Melis},
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booktitle = {NeurIPS Workshop on Scientific Methods for Understanding Deep Learning \emphand NeurIPS Workshop on Compositional Learning},
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title = {Sometimes I am a Tree: Data drives fragile hierarchical generalization},
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url = {https://arxiv.org/abs/2412.04619},
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year = {2024}
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year = {2025}
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}

content/publication/sunny/index.md

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- Tian Qin
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- David Alvarez-Melis
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date: '2024-01-01'
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date: '2025-02-01'
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publishDate: '2025-03-04T20:11:44.806655Z'
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featured: true
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publication_types:
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- preprint
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publication: '*NeurIPS Workshop on Scientific Methods for Understanding Deep Learning
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emphand NeurIPS Workshop on Compositional Learning*'
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links:
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- name: URL
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url: https://arxiv.org/abs/2412.04619

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