Publications

Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu (2025). Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. In ICLR'25..

Wentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims (2024). Ranking with Slot Constraints. KDD'24.

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A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie F. Ruan, Yucheng Lu, Christopher De Sa (2023). Coordinating Distributed Example Orders for Provably Accelerated Training. In NeurIPS'23.

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Yucheng Lu, Wentao Guo, Christopher De Sa (2022). GraB: Finding Provably Better Data Permutations than Random Reshuffling. In NeurIPS'22.

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Tao Yu, Wentao Guo, Jianan Canal Li, Tiancheng Yuan, Christopher De Sa (2022). MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point. In HAET workshop at ICML'22.

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Yann Hicke, Abhishek Masand, Wentao Guo, Tushaar Gangavarapu (2021). Assessing the efficacy of large language models in generating accurate teacher responses.