{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T04:03:42Z","timestamp":1743825822785,"version":"3.40.3"},"reference-count":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Institute for Information & Communications Technology Planning & Evaluation"},{"name":"Korean Government (MSIT)","award":["2022-0-00369","RS-2022-II220369"],"award-info":[{"award-number":["2022-0-00369","RS-2022-II220369"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3554513","type":"journal-article","created":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:47:44Z","timestamp":1742975264000},"page":"54866-54872","source":"Crossref","is-referenced-by-count":0,"title":["Prefix Tuning Using Residual Reparameterization"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-2984-4684","authenticated-orcid":false,"given":"Youngjun","family":"Jung","sequence":"first","affiliation":[{"name":"Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8651-0244","authenticated-orcid":false,"given":"Hyunsun","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8872-8466","authenticated-orcid":false,"given":"Changki","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Brown"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acllong.353"},{"key":"ref4","article-title":"LoRA: Low-rank adaptation of large language models","author":"Hu","year":"2021","journal-title":"arXiv:2106.09685"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096877"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2024-1903"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5446"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5525"},{"article-title":"Language models are unsupervised multitask learners","year":"2019","author":"Radford","key":"ref13"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10938609.pdf?arnumber=10938609","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T05:33:58Z","timestamp":1743744838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10938609\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3554513","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}