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Yuanzhi Li
13 papers at tracked venues · 13 at CORE A* · active 2024–2025
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ICLR
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ICML
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AAAI
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NeurIPS
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Frequent coauthors
Zeyuan Allen-Zhu
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Binghui Li
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Tian Ye
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Samy Jelassi
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Kaiqi Jiang
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Ruiqian Nai
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Aakash Lahoti
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Yue Wu
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Zixiang Chen
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Papers
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
ICLR 2025
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Binghui Li
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Mixture of Parrots: Experts improve memorization more than reasoning
ICLR 2025
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Samy Jelassi
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On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
ICML 2025
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Binghui Li
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Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
ICLR 2025
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Tian Ye
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Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
ICLR 2025
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Tian Ye
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Physics of Language Models: Part 3.2, Knowledge Manipulation
ICLR 2025
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Zeyuan Allen-Zhu
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Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
ICLR 2025
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Zeyuan Allen-Zhu
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Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
NeurIPS 2025
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Kaiqi Jiang
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Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
ICML 2024
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Zeyuan Allen-Zhu
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Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
AAAI 2024
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Ruiqian Nai
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Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
ICLR 2024
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Aakash Lahoti
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SmartPlay : A Benchmark for LLMs as Intelligent Agents
ICLR 2024
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Yue Wu
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Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
ICLR 2024
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Zixiang Chen
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