SelfCP: Compressing over-limit prompt via the frozen large language model itself-Reference-Cited by-同舟云学术

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SelfCP: Compressing over-limit prompt via the frozen large language model itself

Published:2024-11 Issue:6 Volume:61 Page:103873
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Gao Jun^ORCID,Cao Ziqiang^ORCID,Li Wenjie

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Longformer: The long-document transformer;Beltagy,2020

2. Unlimiformer: Long-range transformers with unlimited length input;Bertsch,2023

3. Token merging: Your vit but faster;Bolya,2022

4. Recurrent memory transformer;Bulatov;Advances in Neural Information Processing Systems,2022

5. Scaling transformer to 1 m tokens and beyond with rmt;Bulatov,2023

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