"Brain-inspired sparse training enables Transformers and LLMs to perform as ..."

Yingtao Zhang et al. (2025)

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DOI: 10.48550/ARXIV.2501.19107

access: open

type: Informal or Other Publication

metadata version: 2025-02-28

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  - journals/corr/abs-2501-19107
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  - https://dblp.org/rec/journals/corr/abs-2501-19107
Yingtao Zhang, Jialin Zhao, Wenjing Wu, Ziheng Liao, Umberto Michieli, Carlo Vittorio Cannistraci:
Brain-inspired sparse training enables Transformers and LLMs to perform as fully connected. CoRR abs/2501.19107 (2025)

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