{"id":"https://openalex.org/W4408859910","doi":"https://doi.org/10.1109/access.2025.3554513","title":"Prefix Tuning Using Residual Reparameterization","display_name":"Prefix Tuning Using Residual Reparameterization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408859910","doi":"https://doi.org/10.1109/access.2025.3554513"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3554513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3554513","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3554513","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103429696","display_name":"Youngjun Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngjun Jung","raw_affiliation_strings":["Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate Program in Medical Bigdata Convergence, Kangwon National University, Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014571180","display_name":"Hyunsun Hwang","orcid":"https://orcid.org/0000-0001-8651-0244"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsun Hwang","raw_affiliation_strings":["Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073790847","display_name":"Changki Lee","orcid":"https://orcid.org/0000-0001-8373-1500"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changki Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103429696"],"corresponding_institution_ids":["https://openalex.org/I165507594"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02779906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"54866","last_page":"54872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7446486949920654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5965595841407776},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.4849870204925537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42458975315093994}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7446486949920654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5965595841407776},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.4849870204925537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42458975315093994},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3554513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3554513","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a07ddf0f54c645f8b3b5530e5ebc9f1b","is_oa":true,"landing_page_url":"https://doaj.org/article/a07ddf0f54c645f8b3b5530e5ebc9f1b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 54866-54872 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3554513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3554513","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3996153573","display_name":null,"funder_award_id":"RS-2022-II220369","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7537039438","display_name":null,"funder_award_id":"2022-0-00369","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2923014074","https://openalex.org/W2963912046","https://openalex.org/W2965373594","https://openalex.org/W4205991051","https://openalex.org/W4372340819","https://openalex.org/W4385245566","https://openalex.org/W4385570529","https://openalex.org/W4402112323","https://openalex.org/W6778883912","https://openalex.org/W6796581206"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2142481367","https://openalex.org/W3196321793","https://openalex.org/W3080705045","https://openalex.org/W2385527937","https://openalex.org/W2005880840","https://openalex.org/W2507465767","https://openalex.org/W4385305499"],"abstract_inverted_index":{"Fine-tuning":[0],"large":[1],"language":[2],"models":[3],"for":[4,56,102,197],"specific":[5],"tasks":[6],"requires":[7],"updating":[8],"and":[9,17,67,114,124,147],"storing":[10],"all":[11],"parameters,":[12],"leading":[13],"to":[14,41,47,50,79,86,95,98,122],"significant":[15],"computational":[16],"storage":[18],"cost":[19],"issues.":[20],"To":[21],"address":[22],"these":[23],"challenges,":[24],"parameter-efficient":[25],"learning":[26],"such":[27],"as":[28],"prefix":[29,35,42,52,70,81,99,129,145,167,172,195,199],"tuning":[30,36,71],"has":[31],"gained":[32],"attention.":[33],"However,":[34],"can":[37],"suffer":[38],"from":[39],"sensitivity":[40],"length.":[43],"This":[44],"is":[45],"considered":[46],"be":[48],"due":[49],"different":[51,198],"tokens":[53,146,196],"being":[54],"required":[55],"each":[57],"task.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,90],"propose":[63,91],"improving":[64],"the":[65,80,87,111,140,162,192],"robustness":[66],"performance":[68,126],"of":[69,182],"through":[72],"residual":[73,77,132,159],"reparameterization.":[74],"We":[75,177],"add":[76],"connections":[78,133,160],"module,":[82],"providing":[83],"more":[84,105,149],"flexibility":[85],"model.":[88],"Additionally,":[89],"a":[92],"gate":[93,141,163,183],"mechanism":[94,142],"assign":[96],"weights":[97],"tokens,":[100],"allowing":[101],"focus":[103],"on":[104,110],"important":[106],"tokens.":[107],"Our":[108,152],"experiments":[109],"GLUE":[112],"benchmark":[113],"E2E":[115],"dataset":[116],"demonstrate":[117],"that":[118],"our":[119],"methods":[120],"lead":[121],"improved":[123],"stabilized":[125],"across":[127],"various":[128],"lengths.":[130,200],"The":[131],"enable":[134],"faster":[135],"convergence":[136],"during":[137,186],"training,":[138,187],"while":[139,174],"helps":[143],"balance":[144],"find":[148],"optimized":[150],"parameters.":[151],"approach":[153],"shows":[154],"particular":[155],"effectiveness":[156],"when":[157],"combining":[158],"with":[161,170],"mechanism,":[164],"outperforming":[165],"original":[166],"tuning,":[168],"especially":[169],"longer":[171],"lengths,":[173],"remaining":[175],"parameter-efficient.":[176],"also":[178],"provide":[179],"an":[180],"analysis":[181],"weight":[184],"trends":[185],"offering":[188],"insights":[189],"into":[190],"how":[191],"model":[193],"uses":[194]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}