SEVEN: Pruning Transformer Model by Reserving Sentinels-Reference-Cited by-同舟云学术

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SEVEN: Pruning Transformer Model by Reserving Sentinels

Published:2024-06-30 Issue: Volume:1 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Xiao Jinying¹,Li Ping¹,Nie Jie¹,Tang Zhe¹

Affiliation:

1. Changsha University of Science and Technology,School of Computer and Communication Engineering,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651013.pdf?arnumber=10651013

Reference48 articles.

1. Bert: Pre-training of deep bidirectional transformers for language understanding;Kenton

2. Language models are unsupervised multitask learners;Radford;OpenAI blog,2019

3. Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model;Smith,2022

4. Structured Pruning of Large Language Models

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LNPT: Label-free Network Pruning and Training;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Pruning neural networks by synchronously changing weight information;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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