Skipformer: Evolving Beyond Blocks for Extensively Searching On-Device Language Models With Learnable Attention Window-Reference-Cited by-同舟云学术

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Skipformer: Evolving Beyond Blocks for Extensively Searching On-Device Language Models With Learnable Attention Window

Published:2024 Issue: Volume:12 Page:124428-124439
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bodenham Matthew¹^ORCID,Kung Jaeha²^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, DGIST, Daegu, Republic of Korea

2. School of Electrical Engineering, Korea University, Seoul, Republic of Korea

Funder

Institute of Information & Communications Technology Planning & Evaluation (IITP) funded by [Ministry of Science and ICT (MSIT)]

National Research Foundation of Korea (NRF) funded by MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10666862.pdf?arnumber=10666862

Reference53 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin

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

3. Exploring the limits of transfer learning with a unified text-to-text transformer;Raffel;J. Mach. Learn. Res.,2020

4. Aging evolution for image classifier architecture search;Real

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