{"id":"https://openalex.org/W4403325907","doi":"https://doi.org/10.1145/3688636.3688654","title":"WGLora:Efficient fine-tuning method integrating weights and gradient low-rank adaptation","display_name":"WGLora:Efficient fine-tuning method integrating weights and gradient low-rank adaptation","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4403325907","doi":"https://doi.org/10.1145/3688636.3688654"},"language":"en","primary_location":{"id":"doi:10.1145/3688636.3688654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688636.3688654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 12th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109799828","display_name":"Qingyun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyun Lin","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0003-9553-440X","affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102446293","display_name":"Wenlin He","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlin He","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0002-1946-5855","affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111362143","display_name":"qian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"qian Zhang","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0005-2841-8083","affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111362144","display_name":"Zihan Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Peng","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0002-6554-9857","affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108461813","display_name":"Zhendong Wu","orcid":"https://orcid.org/0009-0008-1936-8506"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Wu","raw_affiliation_strings":["Sichuan Normal University, China"],"raw_orcid":"https://orcid.org/0009-0008-1936-8506","affiliations":[{"raw_affiliation_string":"Sichuan Normal University, China","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101335608","display_name":"Lilan Peng","orcid":"https://orcid.org/0000-0001-6793-7074"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lilan Peng","raw_affiliation_strings":["Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0001-6793-7074","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109799828"],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16791992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7458211183547974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6285392045974731},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5638435482978821},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2185738980770111},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08281341195106506},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05391177535057068}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7458211183547974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285392045974731},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5638435482978821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2185738980770111},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08281341195106506},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05391177535057068},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688636.3688654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688636.3688654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 12th International Conference on Communications and Broadband Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2971216715","https://openalex.org/W2980844465","https://openalex.org/W3033187248","https://openalex.org/W3144293453","https://openalex.org/W3168867926","https://openalex.org/W3176828726","https://openalex.org/W3206816211","https://openalex.org/W4205991051","https://openalex.org/W4322718191","https://openalex.org/W4386148429","https://openalex.org/W4392575839","https://openalex.org/W4393138529","https://openalex.org/W6600424091","https://openalex.org/W6601241631","https://openalex.org/W6603374586","https://openalex.org/W6631190155","https://openalex.org/W6751104502","https://openalex.org/W6755207826","https://openalex.org/W6759579507","https://openalex.org/W6853251322","https://openalex.org/W6861489518"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"To":[0,34],"the":[1,29,125],"ever-increasing":[2],"size":[3],"of":[4,31],"weights":[5,55],"and":[6,48,58,61,86,110],"optimizer":[7,107],"states.":[8],"While":[9],"existing":[10],"low-rank":[11,21,50,66],"adaptation":[12],"techniques,":[13],"like":[14],"LoRA,":[15],"reduce":[16],"memory":[17,72,109],"by":[18,121],"introducing":[19],"trainable":[20],"matrices,":[22],"they":[23],"often":[24],"fall":[25],"short":[26],"in":[27,106,114,133],"matching":[28],"performance":[30],"full-parameter":[32,131],"fine-tuning.":[33],"overcome":[35],"this":[36],"limitation,":[37],"we":[38],"introduce":[39],"a":[40,65],"novel":[41],"fine-tuning":[42,82,94,132],"approach":[43,79,129],"that":[44],"combines":[45],"weight":[46],"decomposition":[47],"gradient":[49,76],"projection.":[51],"By":[52],"decomposing":[53],"pre-trained":[54],"into":[56,64],"magnitude":[57],"direction":[59],"components,":[60],"projecting":[62],"gradients":[63],"space,":[67],"our":[68,99,128],"method":[69,100],"substantially":[70],"reduces":[71],"usage":[73],"while":[74,117],"maintaining":[75],"statistics.":[77],"This":[78],"enables":[80],"efficient":[81],"with":[83],"reduced":[84],"training":[85],"storage":[87],"costs,":[88],"without":[89],"compromising":[90],"model":[91],"performance.":[92],"When":[93],"RoBERTa":[95],"on":[96,124],"GLUE":[97],"tasks,":[98],"achieves":[101],"up":[102],"to":[103],"63%":[104],"reduction":[105],"state":[108],"around":[111],"21%":[112],"decrease":[113],"GPU":[115],"memory,":[116],"improving":[118],"inference":[119],"time":[120],"12%.":[122],"Notably,":[123],"RTE":[126],"dataset,":[127],"surpasses":[130],"accuracy.":[134]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
