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Conference and Workshop Papers
- 2023
[c1]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
Informal and Other Publications
- 2024
- [i7]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) - [i6]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) - [i5]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) - [i4]Hongyi Jin, Ruihang Lai, Charlie F. Ruan, Yingcheng Wang, Todd C. Mowry, Xupeng Miao, Zhihao Jia, Tianqi Chen:
A System for Microserving of LLMs. CoRR abs/2412.12488 (2024) - [i3]Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen:
WebLLM: A High-Performance In-Browser LLM Inference Engine. CoRR abs/2412.15803 (2024) - 2023
- [i2]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]Charlie Ruan:
Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space. CoRR abs/2211.15886 (2022)
Coauthor Index
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