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Charlie Ruan

Charlie F. Ruan

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2020 – today

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2024
[i5]
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  - journals/corr/abs-2404-09151
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Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen:
Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR abs/2404.09151 (2024)
[i4]
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  - journals/corr/abs-2411-09625
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Xun Zhou, Charlie Ruan, Zihe Zhao, Tianqi Chen, Chris Donahue:
Local deployment of large-scale music AI models on commodity hardware. CoRR abs/2411.09625 (2024)
[i3]
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  - journals/corr/abs-2411-15100
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Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ruihang Lai, Ziyi Xu, Yilong Zhao, Tianqi Chen:
XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models. CoRR abs/2411.15100 (2024)
2023
[c1]
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  - conf/nips/CooperGPYRLS23
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A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa:
CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training. NeurIPS 2023
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  - journals/corr/abs-2302-00845
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Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa:
Scale up with Order: Finding Good Data Permutations for Distributed Training. CoRR abs/2302.00845 (2023)
2022
[i1]
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  - journals/corr/abs-2211-15886
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Charlie Ruan:
Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space. CoRR abs/2211.15886 (2022)

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