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Guangxuan Xiao
Guangxuan Xiao
Ph.D. student, MIT
在 mit.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
SmoothQuant: Accurate and efficient post-training quantization for large language models
G Xiao, J Lin, M Seznec, H Wu, J Demouth, S Han
International Conference on Machine Learning, 38087-38099, 2023
2842023
Awq: Activation-aware weight quantization for llm compression and acceleration
J Lin, J Tang, H Tang, S Yang, WM Chen, WC Wang, G Xiao, X Dang, ...
MLSys 2024, 2023
1502023
Efficient streaming language models with attention sinks
G Xiao, Y Tian, B Chen, S Han, M Lewis
International Conference on Learning Representations (ICLR), 2024
932024
Fastcomposer: Tuning-free multi-subject image generation with localized attention
G Xiao, T Yin, WT Freeman, F Durand, S Han
arXiv preprint arXiv:2305.10431, 2023
672023
Red alarm for pre-trained models: Universal vulnerability to neuron-level backdoor attacks
Z Zhang, G Xiao, Y Li, T Lv, F Qi, Z Liu, Y Wang, X Jiang, M Sun
Machine Intelligence Research 20 (2), 180-193, 2023
652023
Offsite-tuning: Transfer learning without full model
G Xiao, J Lin, S Han
arXiv preprint arXiv:2302.04870, 2023
382023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
K Huang, H Jiang, M Wang, G Xiao, D Wipf, X Song, Q Gan, Z Huang, ...
Proceedings of the VLDB Endowment 17 (6), 1473-1486, 2024
6*2024
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory
C Xiao, P Zhang, X Han, G Xiao, Y Lin, Z Zhang, Z Liu, S Han, M Sun
arXiv preprint arXiv:2402.04617, 2024
12024
Sparse and Local Hypergraph Reasoning Networks
G Xiao, LP Kaelbling, J Wu, J Mao
Learning on Graphs Conference, 2022
2022
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